Spoken notifications

专利摘要:
An example method includes, at an electronic device: receiving an indication of a notification; in accordance with receiving the indication of the notification: obtaining one or more data streams from one or more sensors; determining, based on the one or more data streams, whether a user associated with the electronic device is speaking; and in accordance with a determination that the user is not speaking: causing an output associated with the notification to be provided.
公开号:DK202070184A1
申请号:DKP202070184
申请日:2020-03-25
公开日:2021-01-08
发明作者:Nieto Heriberto；A Gupta Gagan；M York William；P Fish Rebecca；Huang Xinyuan；S Phipps Benjamin；Piersol Kurt
申请人:Apple Inc；
IPC主号:

专利说明:

[0001] [0001] This relates generally to spoken notifications and, more specifically, to providing and responding to spoken notifications.BACKGROUND
[0002] [0002] Intelligent automated assistants (or digital assistants) can provide a beneficial interface between human users and electronic devices. Such assistants can allow users to interact with devices or systems using natural language in spoken and/or text forms. For example, a user can provide a speech input containing a user request to a digital assistant operating on an — electronic device. The digital assistant can interpret the user's intent from the speech input and operationalize the user’s intent into tasks. The tasks can then be performed by executing one or more services of the electronic device, and a relevant output responsive to the user request can be returned to the user.
[0003] [0003] The electronic device can be communicatively coupled to a peripheral device (e.g., a headset) configured to provide spoken outputs associated with notifications received at the electronic device. It can be desirable to provide such outputs at appropriate times and to allow efficient user response to such outputs.SUMMARY
[0004] [0004] Example methods are disclosed herein. An example method includes, at an electronic — device: receiving an indication of a notification; in accordance with receiving the indication of the notification: obtaining one or more data streams from one or more sensors; determining, based on the one or more data streams, whether a user associated with the electronic device is speaking; and in accordance with a determination that the user is not speaking: causing an output associated with the notification to be provided. 1
[0005] [0005] Example non-transitory computer-readable media are disclosed herein. An example non-transitory computer-readable storage medium stores one or more programs. The one or more programs comprise instructions, which when executed by one or more processors of an electronic device, cause the electronic device to: receive an indication of a notification; in accordance with receiving the indication of the notification: obtain one or more data streams from one or more sensors; determine, based on the one or more data streams, whether a user associated with the electronic device is speaking; and in accordance with a determination that the user is not speaking: cause an output associated with the notification to be provided.
[0006] [0006] Example electronic devices are disclosed herein. An example electronic device comprises one or more processors; a memory; and one or more programs, where the one or more programs are stored in the memory and configured to be executed by the one or more processors, the one or more programs including instructions for: receiving an indication of a notification; in accordance with receiving the indication of the notification: obtaining one or more data streams from one or more sensors; determining, based on the one or more data streams, whether a user — associated with the electronic device is speaking; and in accordance with a determination that the user is not speaking: causing an output associated with the notification to be provided.
[0007] [0007] An example electronic device comprises means for: receiving an indication of a notification; in accordance with receiving the indication of the notification: obtaining one or more data streams from one or more sensors; determining, based on the one or more data streams, whether a user associated with the electronic device is speaking; and in accordance with a determination that the user is not speaking: causing an output associated with the notification to be provided.
[0008] [0008] Example methods are disclosed herein. An example method includes, at an electronic device: causing a first output associated with a received notification to be provided; after the first — output is provided: obtaining one or more data streams from one or more sensors; determining, based on the one or more data streams, whether a user associated with the electronic device is speaking; in accordance with a determination that the user is speaking: providing at least a portion of the one or more data streams to an external electronic device, the portion including data representing a received speech input requesting performance of a task associated with the 2
[0009] [0009] Example non-transitory computer-readable media are disclosed herein. An example non-transitory computer-readable storage medium stores one or more programs. The one or — more programs comprise instructions, which when executed by one or more processors of an electronic device, cause the electronic device to: cause a first output associated with a received notification to be provided; after the first output is provided: obtain one or more data streams from one or more sensors; determine, based on the one or more data streams, whether a user associated with the electronic device is speaking; in accordance with a determination that the — user is speaking: provide at least a portion of the one or more data streams to an external electronic device, the portion including data representing a received speech input requesting performance of a task associated with the notification; receive, from the external electronic device, an indication that the task has been initiated; and cause a second output based on the received indication to be provided.
[0010] [0010] Example electronic devices are disclosed herein. An example electronic device comprises one or more processors; a memory; and one or more programs, where the one or more programs are stored in the memory and configured to be executed by the one or more processors, the one or more programs including instructions for: causing a first output associated with a received notification to be provided; after the first output is provided: obtaining one or more data streams from one or more sensors; determining, based on the one or more data streams, whether a user associated with the electronic device is speaking; in accordance with a determination that the user is speaking: providing at least a portion of the one or more data streams to an external electronic device, the portion including data representing a received speech input requesting performance of a task associated with the notification; receiving, from the external electronic device, an indication that the task has been initiated; and causing a second output based on the received indication to be provided.
[0011] [0011] An example electronic device comprises means for: causing a first output associated with a received notification to be provided; after the first output is provided: obtaining one or more data streams from one or more sensors; determining, based on the one or more data 3
[0012] [0012] Example methods are disclosed herein. An example method includes, at an electronic device: receiving an indication of a notification; in accordance with receiving the indication of the notification: determining whether an output associated with the notification would interrupt a — user associated with the electronic device; and in accordance with a determination that the output would not interrupt the user: causing the output to be provided; and in accordance with a determination that the output would interrupt the user: forgoing causing the output to be provided.
[0013] [0013] Example non-transitory computer-readable media are disclosed herein. An example non-transitory computer-readable storage medium stores one or more programs. The one or more programs comprise instructions, which when executed by one or more processors of an electronic device, cause the electronic device to: receive an indication of a notification; in accordance with receiving the indication of the notification: determine whether an output associated with the notification would interrupt a user associated with the electronic device; and in accordance with a determination that the output would not interrupt the user: cause the output to be provided; and in accordance with a determination that the output would interrupt the user: forgo causing the output to be provided.
[0014] [0014] Example electronic devices are disclosed herein. An example electronic device comprises one or more processors; a memory; and one or more programs, where the one or more — programs are stored in the memory and configured to be executed by the one or more processors, the one or more programs including instructions for: receiving an indication of a notification; in accordance with receiving the indication of the notification: determining whether an output associated with the notification would interrupt a user associated with the electronic device; and in accordance with a determination that the output would not interrupt the user: causing the 4
[0015] [0015] An example electronic device comprises means for: receiving an indication of a notification; in accordance with receiving the indication of the notification: determining whether — an output associated with the notification would interrupt a user associated with the electronic device; and in accordance with a determination that the output would not interrupt the user: causing the output to be provided; and in accordance with a determination that the output would interrupt the user: forgoing causing the output to be provided.
[0016] [0016] Causing an output associated with the notification to be provided in accordance with a determination that the user is not speaking allows spoken outputs associated with received notifications (spoken notification outputs) to be provided at appropriate times. For example, a user may not be interrupted by spoken notification outputs while speaking, and may be provided with spoken notification outputs while not speaking. In this manner, the user device interface may be more efficient (e.g., by automatically providing a user with spoken notification outputs, — by providing such outputs at appropriate times, and by sparing users the burden of manually checking notifications), which additionally reduces power usage and improves battery life of the device by enabling the user to use the device more quickly and efficiently.
[0017] [0017] In accordance with a determination that the user is speaking: providing at least a portion of one or more data streams to an external electronic device, the portion including data representing a received speech input requesting performance of a task associated with the notification allows efficient user response to spoken notification outputs. For example, after a spoken notification output (e.g., a spoken text message) is provided, a user can provide a speech input (e.g., "reply”) responsive to the notification output. Data representing the speech input can thus be provided to an external electronic device that can initiate (or perform) the requested task > based on the data. Further, providing such data in accordance with a determination that the user is speaking may improve user privacy by only sending audio data from a user's device(s) to external device(s) when the user is speaking to his or her device(s). This may advantageously prevent speech not directed to a user's device(s) (e.g., background speech) from being sent to external devices. In this manner, the user device interface may be more efficient (e.g., by 5
[0018] [0018] FIG. I is a block diagram illustrating a system and environment for implementing a digital assistant, according to various examples.
[0019] [0019] FIG. 2A is a block diagram illustrating a portable multifunction device implementing the client-side portion of a digital assistant, according to various examples.
[0020] [0020] FIG. 2B is a block diagram illustrating exemplary components for event handling, according to various examples.
[0021] [0021] FIG. 3 illustrates a portable multifunction device implementing the client-side portion of a digital assistant, according to various examples.
[0022] [0022] FIG. 4 is a block diagram of an exemplary multifunction device with a display and a touch-sensitive surface, according to various examples.
[0023] [0023] FIG. 5A illustrates an exemplary user interface for a menu of applications on a portable multifunction device, according to various examples.
[0024] [0024] FIG. 5B illustrates an exemplary user interface for a multifunction device with a touch-sensitive surface that is separate from the display, according to various examples.
[0026] [0026] FIG. 6B is a block diagram illustrating a personal electronic device, according to various examples.
[0027] [0027] FIG. 7A is a block diagram illustrating a digital assistant system or a server portion thereof, according to various examples. 6
[0028] [0028] FIG. 7B illustrates the functions of the digital assistant shown in FIG. 7A, according to various examples.
[0029] [0029] FIG. 7C illustrates a portion of an ontology, according to various examples.
[0030] [0030] FIG. 8A shows an electronic device providing an output associated with a notification — when a user of the device is not speaking, according to some examples.
[0031] [0031] FIG. 8B shows a system for providing and responding to spoken notifications, according to some examples.
[0032] [0032] FIG. 8C shows an electronic device providing an output associated with a notification when a user of the device is speaking, according to some examples.
[0033] [0033] FIG. 9A shows a flow diagram of a process for responding to spoken notifications, according to some examples.
[0034] [0034] FIG. 9B shows a device providing a notification output, according to some examples.
[0035] [0035] FIG. 9C shows a user responding to a notification output, according to some examples.
[0036] [0036] FIG. 9D shows a device providing an audio output indicating that a task has been initiated, according to some examples.
[0037] [0037] FIGS. 10A-10E illustrate a process for providing notifications, according to various examples.
[0038] [0038] FIGS. 11A-11D illustrate a process for responding to notifications, according to — various examples.
[0039] [0039] FIG. 12 illustrates a process for providing notifications, according to various examples.
[0040] [0040] In the following description of examples, reference is made to the accompanying drawings in which are shown by way of illustration specific examples that can be practiced. It is to be understood that other examples can be used and structural changes can be made without departing from the scope of the various examples.
[0041] [0041] This generally relates to providing and responding to spoken notifications. Using the techniques discussed herein, spoken notifications may be provided at appropriate times and a user may efficiently respond to such notifications.
[0042] [0042] Although the following description uses terms “first,” “second,” etc. to describe — various elements, these elements should not be limited by the terms. These terms are only used to distinguish one element from another. For example, a first input could be termed a second input, and, similarly, a second input could be termed a first input, without departing from the scope of the various described examples. The first input and the second input are both inputs and, in some cases, are separate and different inputs.
[0043] [0043] The terminology used in the description of the various described examples herein is for the purpose of describing particular examples only and is not intended to be limiting. As used in the description of the various described examples and the appended claims, the singular forms “a,” “an,” and “the” are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will also be understood that the term “and/or” as used herein refers to and encompasses any and all possible combinations of one or more of the associated listed items. It will be further understood that the terms “includes,” “including,” “comprises,” and/or “comprising,” when used in this specification, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or — groups thereof.
[0044] [0044] The term “if” may be construed to mean “when” or “upon” or “in response to determining” or “in response to detecting,” depending on the context. Similarly, the phrase “if it is determined” or “if [a stated condition or event] is detected” may be construed to mean “upon 8
[0045] [0045] FIG. I illustrates a block diagram of system 100 according to various examples. In some examples, system 100 implements a digital assistant. The terms “digital assistant,” “virtual assistant,” "intelligent automated assistant,” or "automatic digital assistant” refer to any information processing system that interprets natural language input in spoken and/or textual form to infer user intent, and performs actions based on the inferred user intent. For example, to act on an inferred user intent, the system performs one or more of the following: identifying a — task flow with steps and parameters designed to accomplish the inferred user intent, inputting specific requirements from the inferred user intent into the task flow; executing the task flow by invoking programs, methods, services, APIs, or the like; and generating output responses to the user in an audible (e.g., speech) and/or visual form.
[0046] [0046] Specifically, a digital assistant is capable of accepting a user request at least partially in the form of a natural language command, request, statement, narrative, and/or inquiry. Typically, the user request seeks either an informational answer or performance of a task by the digital assistant. A satisfactory response to the user request includes a provision of the requested informational answer, a performance of the requested task, or a combination of the two. For example, a user asks the digital assistant a question, such as "Where am Iright now ” Based on the user's current location, the digital assistant answers, “You are in Central Park near the west gate.” The user also requests the performance of a task, for example, "Please invite my friends to my girlfriend’s birthday party next week.” In response, the digital assistant can acknowledge the request by saying "Yes, right away,” and then send a suitable calendar invite on behalf of the user to each of the user's friends listed in the user's electronic address book. During performance of a requested task, the digital assistant sometimes interacts with the user in a continuous dialogue involving multiple exchanges of information over an extended period of time. There are numerous other ways of interacting with a digital assistant to request information or performance of various tasks. In addition to providing verbal responses and 9
[0047] [0047] As shown in FIG. 1, in some examples, a digital assistant is implemented according to a client-server model. The digital assistant includes client-side portion 102 (hereafter “DA client 102”) executed on user device 104 and server-side portion 106 (hereafter “DA server 106”) executed on server system 108. DA client 102 communicates with DA server 106 through one or more networks 110. DA client 102 provides client-side functionalities such as user-facing input and output processing and communication with DA server 106. DA server 106 provides server-side functionalities for any number of DA clients 102 each residing on a respective user device 104.
[0048] [0048] In some examples, DA server 106 includes client-facing I/O interface 112, one or more processing modules 114, data and models 116, and I/O interface to external services 118. The client-facing I/O interface 112 facilitates the client-facing input and output processing for DA server 106. One or more processing modules 114 utilize data and models 116 to process speech input and determine the user's intent based on natural language input. Further, one or more processing modules 114 perform task execution based on inferred user intent. In some examples, DA server 106 communicates with external services 120 through network(s) 110 for task completion or information acquisition. I/O interface to external services 118 facilitates such communications.
[0049] [0049] User device 104 can be any suitable electronic device. In some examples, user device 104 is a portable multifunctional device (e.g., device 200, described below with reference to FIG. 2A), a multifunctional device (e.g., device 400, described below with reference to FIG. 4), or a personal electronic device (e.g., device 600, described below with reference to FIG. 6A-6B.) A portable multifunctional device is, for example, a mobile telephone that also contains other functions, such as PDA and/or music player functions. Specific examples of portable multifunction devices include the Apple Watch®, iPhone®, iPod Touch®, and iPad® devices from Apple Inc. of Cupertino, California. Other examples of portable multifunction devices include, without limitation, earphones/headphones, speakers, and laptop or tablet computers. Further, in some examples, user device 104 is a non-portable multifunctional device. In 10
[0050] [0050] Examples of communication network(s) 110 include local area networks (LAN) and wide area networks (WAN), e.g., the Internet. Communication network(s) 110 is implemented using any known network protocol, including various wired or wireless protocols, such as, for example, Ethernet, Universal Serial Bus (USB), FIREWIRE, Global System for Mobile Communications (GSM), Enhanced Data GSM Environment (EDGE), code division multiple access (CDMA), time division multiple access (TDMA), Bluetooth, Wi-Fi, voice over Internet Protocol (VoIP), Wi-MAX, or any other suitable communication protocol.
[0051] [0051] Server system 108 is implemented on one or more standalone data processing apparatus or a distributed network of computers. In some examples, server system 108 also employs various virtual devices and/or services of third-party service providers (e.g., third-party cloud service providers) to provide the underlying computing resources and/or infrastructure resources of server system 108.
[0052] [0052] In some examples, user device 104 communicates with DA server 106 via second user device 122. Second user device 122 is similar or identical to user device 104. For example, second user device 122 is similar to devices 200, 400, or 600 described below with reference to FIGS. 2A, 4, and 6A-6B. User device 104 is configured to communicatively couple to second user device 122 via a direct communication connection, such as Bluetooth, NFC, BTLE, or the like, or via a wired or wireless network, such as a local Wi-Fi network. In some examples, second user device 122 is configured to act as a proxy between user device 104 and DA server
[0053] [0053] In some examples, user device 104 is configured to communicate abbreviated requests for data to second user device 122 to reduce the amount of information transmitted from user device 104. Second user device 122 is configured to determine supplemental information to add to the abbreviated request to generate a complete request to transmit to DA server 106. This system architecture can advantageously allow user device 104 having limited communication capabilities and/or limited battery power (e.g., a watch or a similar compact electronic device) to access services provided by DA server 106 by using second user device 122, having greater communication capabilities and/or battery power (e.g., a mobile phone, laptop computer, tablet computer, or the like), as a proxy to DA server 106. While only two user devices 104 and 122 — are shown in FIG. 1, it should be appreciated that system 100, in some examples, includes any number and type of user devices configured in this proxy configuration to communicate with DA server system 106.
[0054] [0054] Although the digital assistant shown in FIG. 1 includes both a client-side portion (e.g., DA client 102) and a server-side portion (e.g., DA server 106), in some examples, the functions of a digital assistant are implemented as a standalone application installed on a user device. In addition, the divisions of functionalities between the client and server portions of the digital assistant can vary in different implementations. For instance, in some examples, the DA client is a thin-client that provides only user-facing input and output processing functions, and delegates all other functionalities of the digital assistant to a backend server.
[0055] [0055] Attention is now directed toward embodiments of electronic devices for implementing the client-side portion of a digital assistant. FIG. 2A is a block diagram illustrating portable multifunction device 200 with touch-sensitive display system 212 in accordance with some embodiments. Touch-sensitive display 212 is sometimes called a “touch screen” for convenience and is sometimes known as or called a “touch-sensitive display system.” Device 200 includes memory 202 (which optionally includes one or more computer-readable storage mediums), memory controller 222, one or more processing units (CPUs) 220, peripherals interface 218, RF circuitry 208, audio circuitry 210, speaker 211, microphone 213, input/output (I/O) subsystem 206, other input control devices 216, and external port 224. Device 200 12
[0056] [0056] As used in the specification and claims, the term “intensity” of a contact on a touch- sensitive surface refers to the force or pressure (force per unit area) of a contact (e.g., a finger — contact) on the touch-sensitive surface, or to a substitute (proxy) for the force or pressure of a contact on the touch-sensitive surface. The intensity of a contact has a range of values that includes at least four distinct values and more typically includes hundreds of distinct values (e.g., at least 256). Intensity of a contact is, optionally, determined (or measured) using various approaches and various sensors or combinations of sensors. For example, one or more force sensors underneath or adjacent to the touch-sensitive surface are, optionally, used to measure force at various points on the touch-sensitive surface. In some implementations, force measurements from multiple force sensors are combined (e.g., a weighted average) to determine an estimated force of a contact. Similarly, a pressure-sensitive tip of a stylus is, optionally, used to determine a pressure of the stylus on the touch-sensitive surface. Alternatively, the size of the — contact area detected on the touch-sensitive surface and/or changes thereto, the capacitance of the touch-sensitive surface proximate to the contact and/or changes thereto, and/or the resistance of the touch-sensitive surface proximate to the contact and/or changes thereto are, optionally, used as a substitute for the force or pressure of the contact on the touch-sensitive surface. In some implementations, the substitute measurements for contact force or pressure are used — directly to determine whether an intensity threshold has been exceeded (e.g., the intensity threshold is described in units corresponding to the substitute measurements). In some implementations, the substitute measurements for contact force or pressure are converted to an estimated force or pressure, and the estimated force or pressure is used to determine whether an intensity threshold has been exceeded (e.g., the intensity threshold is a pressure threshold — measured in units of pressure). Using the intensity of a contact as an attribute of a user input allows for user access to additional device functionality that may otherwise not be accessible by 13
[0057] [0057] As used in the specification and claims, the term “tactile output” refers to physical displacement of a device relative to a previous position of the device, physical displacement of a component (e.g., a touch-sensitive surface) of a device relative to another component (e.g., housing) of the device, or displacement of the component relative to a center of mass of the device that will be detected by a user with the user’s sense of touch. For example, in situations where the device or the component of the device is in contact with a surface of a user that is sensitive to touch (e.g., a finger, palm, or other part of a user's hand), the tactile output generated by the physical displacement will be interpreted by the user as a tactile sensation corresponding to a perceived change in physical characteristics of the device or the component of the device. For example, movement of a touch-sensitive surface (e.g., a touch-sensitive display or trackpad) is, optionally, interpreted by the user as a "down click” or “up click” of a physical actuator button. In some cases, a user will feel a tactile sensation such as an “down click” or “up click” even when there is no movement of a physical actuator button associated with the touch-sensitive surface that is physically pressed (e.g., displaced) by the user’s movements. As another example, movement of the touch-sensitive surface is, optionally, interpreted or sensed by the user as “roughness” of the touch-sensitive surface, even when there is no change in smoothness of the touch-sensitive surface. While such interpretations of touch by a user will be subject to the individualized sensory perceptions of the user, there are many sensory perceptions of touch that are common to a large majority of users. Thus, when a tactile output is described as corresponding to a particular sensory perception of a user (e.g., an “up click,” a “down click,” "roughness”), unless otherwise stated, the generated tactile output corresponds to physical displacement of the device or a component thereof that will generate the described sensory perception for a typical (or average) user.
[0058] [0058] It should be appreciated that device 200 is only one example of a portable multifunction device, and that device 200 optionally has more or fewer components than shown, optionally combines two or more components, or optionally has a different configuration or arrangement of the components. The various components shown in FIG. 2A are implemented in 14
[0059] [0059] Memory 202 includes one or more computer-readable storage mediums. The computer-readable storage mediums are, for example, tangible and non-transitory. Memory 202 — includes high-speed random access memory and also includes non-volatile memory, such as one or more magnetic disk storage devices, flash memory devices, or other non-volatile solid-state memory devices. Memory controller 222 controls access to memory 202 by other components of device 200.
[0060] [0060] In some examples, a non-transitory computer-readable storage medium of memory 202 is used to store instructions (e.g., for performing aspects of processes described below) for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. In other examples, the instructions (e.g., for performing aspects of the processes described below) are stored on a non-transitory computer-readable storage medium (not shown) of the server system 108 or are divided between the non-transitory computer-readable storage medium of memory 202 and the non-transitory computer-readable storage medium of server system 108.
[0061] [0061] Peripherals interface 218 is used to couple input and output peripherals of the device to CPU 220 and memory 202. The one or more processors 220 run or execute various software programs and/or sets of instructions stored in memory 202 to perform various functions for device 200 and to process data. In some embodiments, peripherals interface 218, CPU 220, and memory controller 222 are implemented on a single chip, such as chip 204. In some other embodiments, they are implemented on separate chips.
[0062] [0062] RF (radio frequency) circuitry 208 receives and sends RF signals, also called electromagnetic signals. RF circuitry 208 converts electrical signals to/from electromagnetic signals and communicates with communications networks and other communications devices via the electromagnetic signals. RF circuitry 208 optionally includes well-known circuitry for performing these functions, including but not limited to an antenna system, an RF transceiver, 15
[0063] [0063] Audio circuitry 210, speaker 211, and microphone 213 provide an audio interface between a user and device 200. Audio circuitry 210 receives audio data from peripherals interface 218, converts the audio data to an electrical signal, and transmits the electrical signal to speaker 211. Speaker 211 converts the electrical signal to human-audible sound waves. Audio circuitry 210 also receives electrical signals converted by microphone 213 from sound waves. Audio circuitry 210 converts the electrical signal to audio data and transmits the audio data to peripherals interface 218 for processing. Audio data are retrieved from and/or transmitted to memory 202 and/or RF circuitry 208 by peripherals interface 218. In some embodiments, audio circuitry 210 also includes a headset jack (e.g., 312, FIG. 3). The headset jack provides an 16
[0064] [0064] I/O subsystem 206 couples input/output peripherals on device 200, such as touch screen 212 and other input control devices 216, to peripherals interface 218. 1/0 subsystem 206 optionally includes display controller 256, optical sensor controller 258, intensity sensor controller 259, haptic feedback controller 261, and one or more input controllers 260 for other input or control devices. The one or more input controllers 260 receive/send electrical signals from/to other input control devices 216. The other input control devices 216 optionally include — physical buttons (e.g., push buttons, rocker buttons, etc.), dials, slider switches, joysticks, click wheels, and so forth. In some alternate embodiments, input controller(s) 260 are, optionally, coupled to any (or none) of the following: a keyboard, an infrared port, a USB port, and a pointer device such as a mouse. The one or more buttons (e.g., 308, FIG. 3) optionally include an up/down button for volume control of speaker 211 and/or microphone 213. The one or more buttons optionally include a push button (e.g., 306, FIG. 3).
[0065] [0065] A quick press of the push button disengages a lock of touch screen 212 or begin a process that uses gestures on the touch screen to unlock the device, as described in U.S. Patent Application 11/322,549, “Unlocking a Device by Performing Gestures on an Unlock Image,” filed December 23, 2005, U.S. Pat. No. 7,657,849, which is hereby incorporated by reference in its entirety. A longer press of the push button (e.g., 306) turns power to device 200 on or off. The user is able to customize a functionality of one or more of the buttons. Touch screen 212 is used to implement virtual or soft buttons and one or more soft keyboards.
[0066] [0066] Touch-sensitive display 212 provides an input interface and an output interface between the device and a user. Display controller 256 receives and/or sends electrical signals from/to touch screen 212. Touch screen 212 displays visual output to the user. The visual output includes graphics, text, icons, video, and any combination thereof (collectively termed “graphics”). In some embodiments, some or all of the visual output correspond to user-interface objects. 17
[0067] [0067] Touch screen 212 has a touch-sensitive surface, sensor, or set of sensors that accepts input from the user based on haptic and/or tactile contact. Touch screen 212 and display controller 256 (along with any associated modules and/or sets of instructions in memory 202) detect contact (and any movement or breaking of the contact) on touch screen 212 and convert the detected contact into interaction with user-interface objects (e.g., one or more soft keys, icons, web pages, or images) that are displayed on touch screen 212. In an exemplary embodiment, a point of contact between touch screen 212 and the user corresponds to a finger of the user.
[0068] [0068] Touch screen 212 uses LCD (liquid crystal display) technology, LPD (light emitting polymer display) technology, or LED (light emitting diode) technology, although other display technologies may be used in other embodiments. Touch screen 212 and display controller 256 detect contact and any movement or breaking thereof using any of a plurality of touch sensing technologies now known or later developed, including but not limited to capacitive, resistive, infrared, and surface acoustic wave technologies, as well as other proximity sensor arrays or — other elements for determining one or more points of contact with touch screen 212. In an exemplary embodiment, projected mutual capacitance sensing technology is used, such as that found in the iPhone® and iPod Touch® from Apple Inc. of Cupertino, California.
[0069] [0069] A touch-sensitive display in some embodiments of touch screen 212 is analogous to the multi-touch sensitive touchpads described in the following U.S. Patents: 6,323,846 (Westerman et al.), 6,570,557 (Westerman et al.), and/or 6,677,932 (Westerman), and/or U.S. Patent Publication 2002/0015024A1, each of which is hereby incorporated by reference in its entirety. However, touch screen 212 displays visual output from device 200, whereas touch- sensitive touchpads do not provide visual output.
[0070] [0070] A touch-sensitive display in some embodiments of touch screen 212 is as described in — the following applications: (1) U.S. Patent Application No. 11/381,313, “Multipoint Touch Surface Controller,” filed May 2, 2006; (2) U.S. Patent Application No. 10/840,862, “Multipoint Touchscreen,” filed May 6, 2004; (3) U.S. Patent Application No. 10/903,964, “Gestures For Touch Sensitive Input Devices,” filed July 30, 2004; (4) U.S. Patent Application No. 11/048,264, “Gestures For Touch Sensitive Input Devices,” filed January 31, 2005; (5) U.S. Patent 18
[0071] [0071] Touch screen 212 has, for example, a video resolution in excess of 100 dpi. In some embodiments, the touch screen has a video resolution of approximately 160 dpi. The user makes contact with touch screen 212 using any suitable object or appendage, such as a stylus, a finger, and so forth. In some embodiments, the user interface is designed to work primarily with finger- based contacts and gestures, which can be less precise than stylus-based input due to the larger area of contact of a finger on the touch screen. In some embodiments, the device translates the rough finger-based input into a precise pointer/cursor position or command for performing the actions desired by the user.
[0072] [0072] In some embodiments, in addition to the touch screen, device 200 includes a touchpad (not shown) for activating or deactivating particular functions. In some embodiments, the touchpad is a touch-sensitive area of the device that, unlike the touch screen, does not display — visual output. The touchpad is a touch-sensitive surface that is separate from touch screen 212 or an extension of the touch-sensitive surface formed by the touch screen.
[0073] [0073] Device 200 also includes power system 262 for powering the various components. Power system 262 includes a power management system, one or more power sources (e.g., battery, alternating current (AC)), a recharging system, a power failure detection circuit, a power converter or inverter, a power status indicator (e.g., a light-emitting diode (LED)) and any other components associated with the generation, management and distribution of power in portable devices.
[0074] [0074] Device 200 also includes one or more optical sensors 264. FIG. 2A shows an optical sensor coupled to optical sensor controller 258 in I/O subsystem 206. Optical sensor 264 19
[0075] [0075] Device 200 optionally also includes one or more contact intensity sensors 265. FIG.
[0076] [0076] Device 200 also includes one or more proximity sensors 266. FIG. 2A shows proximity sensor 266 coupled to peripherals interface 218. Alternately, proximity sensor 266 is coupled to input controller 260 in I/O subsystem 206. Proximity sensor 266 is performed as described in U.S. Patent Application Nos. 11/241,839, “Proximity Detector In Handheld Device”; 11/240,788, “Proximity Detector In Handheld Device”; 11/620,702, “Using Ambient — Light Sensor To Augment Proximity Sensor Output”; 11/586,862, "Automated Response To 20
[0077] [0077] Device 200 optionally also includes one or more tactile output generators 267. FIG. 2A shows a tactile output generator coupled to haptic feedback controller 261 in I/O subsystem
[0078] [0078] Device 200 also includes one or more accelerometers 268. FIG. 2A shows accelerometer 268 coupled to peripherals interface 218. Alternately, accelerometer 268 is coupled to an input controller 260 in I/O subsystem 206. Accelerometer 268 performs, for example, as described in U.S. Patent Publication No. 20050190059, “Acceleration-based Theft Detection System for Portable Electronic Devices,” and U.S. Patent Publication No. 20060017692, “Methods And Apparatuses For Operating A Portable Device Based On An Accelerometer,” both of which are incorporated by reference herein in their entirety. In some embodiments, information is displayed on the touch screen display in a portrait view or a landscape view based on an analysis of data received from the one or more accelerometers.
[0079] [0079] In some embodiments, the software components stored in memory 202 include operating system 226, communication module (or set of instructions) 228, contact/motion — module (or set of instructions) 230, graphics module (or set of instructions) 232, text input module (or set of instructions) 234, Global Positioning System (GPS) module (or set of instructions) 235, Digital Assistant Client Module 229, and applications (or sets of instructions)
[0080] [0080] Operating system 226 (e.g., Darwin, RTXC, LINUX, UNIX, OS X, iOS, WINDOWS, or an embedded operating system such as VxWorks) includes various software components and/or drivers for controlling and managing general system tasks (e.g., memory management, storage device control, power management, etc.) and facilitates communication between various hardware and software components.
[0081] [0081] Communication module 228 facilitates communication with other devices over one or more external ports 224 and also includes various software components for handling data received by RF circuitry 208 and/or external port 224. External port 224 (e.g., Universal Serial Bus (USB), FIREWIRE, etc.) is adapted for coupling directly to other devices or indirectly over anetwork (e.g., the Internet, wireless LAN, etc.). In some embodiments, the external port is a multi-pin (e.g., 30-pin) connector that is the same as, or similar to and/or compatible with, the 30-pin connector used on iPod® (trademark of Apple Inc.) devices.
[0082] [0082] Contact/motion module 230 optionally detects contact with touch screen 212 (in conjunction with display controller 256) and other touch-sensitive devices (e.g., a touchpad or 22
[0083] [0083] In some embodiments, contact/motion module 230 uses a set of one or more intensity thresholds to determine whether an operation has been performed by a user (e.g., to determine whether a user has “clicked” on an icon). In some embodiments, at least a subset of the intensity thresholds are determined in accordance with software parameters (e.g., the intensity thresholds are not determined by the activation thresholds of particular physical actuators and can be adjusted without changing the physical hardware of device 200). For example, a mouse “click” threshold of a trackpad or touch screen display can be set to any of a large range of predefined threshold values without changing the trackpad or touch screen display hardware. Additionally, in some implementations, a user of the device is provided with software settings for adjusting one or more of the set of intensity thresholds (e.g., by adjusting individual intensity thresholds — and/or by adjusting a plurality of intensity thresholds at once with a system-level click “intensity” parameter).
[0084] [0084] Contact/motion module 230 optionally detects a gesture input by a user. Different gestures on the touch-sensitive surface have different contact patterns (e.g., different motions, timings, and/or intensities of detected contacts). Thus, a gesture is, optionally, detected by detecting a particular contact pattern. For example, detecting a finger tap gesture includes 23
[0085] [0085] Graphics module 232 includes various known software components for rendering and displaying graphics on touch screen 212 or other display, including components for changing the visual impact (e.g., brightness, transparency, saturation, contrast, or other visual property) of graphics that are displayed. As used herein, the term “graphics” includes any object that can be — displayed to a user, including ,without limitation, text, web pages, icons (such as user-interface objects including soft keys), digital images, videos, animations, and the like.
[0086] [0086] In some embodiments, graphics module 232 stores data representing graphics to be used. Each graphic is, optionally, assigned a corresponding code. Graphics module 232 receives, from applications etc., one or more codes specifying graphics to be displayed along with, if necessary, coordinate data and other graphic property data, and then generates screen image data to output to display controller 256.
[0087] [0087] Haptic feedback module 233 includes various software components for generating instructions used by tactile output generator(s) 267 to produce tactile outputs at one or more locations on device 200 in response to user interactions with device 200.
[0089] [0089] GPS module 235 determines the location of the device and provides this information for use in various applications (e.g., to telephone 238 for use in location-based dialing; to camera — 243 as picture/video metadata; and to applications that provide location-based services such as weather widgets, local yellow page widgets, and map/navigation widgets).
[0090] [0090] Digital assistant client module 229 includes various client-side digital assistant instructions to provide the client-side functionalities of the digital assistant. For example, digital 24
[0091] [0091] User data and models 231 include various data associated with the user (e.g., user- specific vocabulary data, user preference data, user-specified name pronunciations, data from the user’s electronic address book, to-do lists, shopping lists, etc.) to provide the client-side functionalities of the digital assistant. Further, user data and models 231 include various models (e.g., speech recognition models, statistical language models, natural language processing models, ontology, task flow models, service models, etc.) for processing user input and determining user intent.
[0092] [0092] In some examples, digital assistant client module 229 utilizes the various sensors, subsystems, and peripheral devices of portable multifunction device 200 to gather additional information from the surrounding environment of the portable multifunction device 200 to establish a context associated with a user, the current user interaction, and/or the current user input. In some examples, digital assistant client module 229 provides the contextual information or a subset thereof with the user input to DA server 106 to help infer the user's intent. In some examples, the digital assistant also uses the contextual information to determine how to prepare and deliver outputs to the user. Contextual information is referred to as context data.
[0093] [0093] In some examples, the contextual information that accompanies the user input includes sensor information, e.g., lighting, ambient noise, ambient temperature, images or videos of the surrounding environment, etc. In some examples, the contextual information can also include the physical state of the device, e.g., device orientation, device location, device 25
[0094] [0094] In some examples, the digital assistant client module 229 selectively provides information (e.g., user data 231) stored on the portable multifunction device 200 in response to requests from DA server 106. In some examples, digital assistant client module 229 also elicits additional input from the user via a natural language dialogue or other user interfaces upon — request by DA server 106. Digital assistant client module 229 passes the additional input to DA server 106 to help DA server 106 in intent deduction and/or fulfillment of the user's intent expressed in the user request.
[0095] [0095] A more detailed description of a digital assistant is described below with reference to FIGs. 7A-7C. It should be recognized that digital assistant client module 229 can include any number of the sub-modules of digital assistant module 726 described below.
[0096] [0096] Applications 236 include the following modules (or sets of instructions), or a subset or superset thereof: e Contacts module 237 (sometimes called an address book or contact list); e Telephone module 238; e Video conference module 239; e E-mail client module 240; e Instant messaging (IM) module 241; e Workout support module 242; e Camera module 243 for still and/or video images; 26
[0097] [0097] Examples of other applications 236 that are stored in memory 202 include other word processing applications, other image editing applications, drawing applications, presentation applications, JAVA-enabled applications, encryption, digital rights management, voice recognition, and voice replication.
[0098] [0098] In conjunction with touch screen 212, display controller 256, contact/motion module 230, graphics module 232, and text input module 234, contacts module 237 are used to manage an address book or contact list (e.g., stored in application internal state 292 of contacts module 27
[0099] [0099] In conjunction with RF circuitry 208, audio circuitry 210, speaker 211, microphone 213, touch screen 212, display controller 256, contact/motion module 230, graphics module 232, and text input module 234, telephone module 238 are used to enter a sequence of characters — corresponding to a telephone number, access one or more telephone numbers in contacts module 237, modify a telephone number that has been entered, dial a respective telephone number, conduct a conversation, and disconnect or hang up when the conversation is completed. As noted above, the wireless communication uses any of a plurality of communications standards, protocols, and technologies.
[0100] [0100] In conjunction with RF circuitry 208, audio circuitry 210, speaker 211, microphone 213, touch screen 212, display controller 256, optical sensor 264, optical sensor controller 258, contact/motion module 230, graphics module 232, text input module 234, contacts module 237, and telephone module 238, video conference module 239 includes executable instructions to initiate, conduct, and terminate a video conference between a user and one or more other participants in accordance with user instructions.
[0101] [0101] In conjunction with RF circuitry 208, touch screen 212, display controller 256, contact/motion module 230, graphics module 232, and text input module 234, e-mail client module 240 includes executable instructions to create, send, receive, and manage e-mail in response to user instructions. In conjunction with image management module 244, e-mail client module 240 makes it very easy to create and send e-mails with still or video images taken with camera module 243.
[0102] [0102] In conjunction with RF circuitry 208, touch screen 212, display controller 256, contact/motion module 230, graphics module 232, and text input module 234, the instant messaging module 241 includes executable instructions to enter a sequence of characters 28
[0103] [0103] In conjunction with RF circuitry 208, touch screen 212, display controller 256, contact/motion module 230, graphics module 232, text input module 234, GPS module 235, map module 254, and music player module, workout support module 242 includes executable instructions to create workouts (e.g., with time, distance, and/or calorie burning goals); communicate with workout sensors (sports devices); receive workout sensor data; calibrate sensors used to monitor a workout; select and play music for a workout; and display, store, and transmit workout data.
[0104] [0104] In conjunction with touch screen 212, display controller 256, optical sensor(s) 264, optical sensor controller 258, contact/motion module 230, graphics module 232, and image management module 244, camera module 243 includes executable instructions to capture still > images or video (including a video stream) and store them into memory 202, modify characteristics of a still image or video, or delete a still image or video from memory 202.
[0105] [0105] In conjunction with touch screen 212, display controller 256, contact/motion module 230, graphics module 232, text input module 234, and camera module 243, image management module 244 includes executable instructions to arrange, modify (e.g., edit), or otherwise manipulate, label, delete, present (e.g., in a digital slide show or album), and store still and/or video images.
[0106] [0106] In conjunction with RF circuitry 208, touch screen 212, display controller 256, contact/motion module 230, graphics module 232, and text input module 234, browser module 247 includes executable instructions to browse the Internet in accordance with user instructions, 29
[0107] [0107] In conjunction with RF circuitry 208, touch screen 212, display controller 256, contact/motion module 230, graphics module 232, text input module 234, e-mail client module 240, and browser module 247, calendar module 248 includes executable instructions to create, display, modify, and store calendars and data associated with calendars (e.g., calendar entries, to- do lists, etc.) in accordance with user instructions.
[0108] [0108] In conjunction with RF circuitry 208, touch screen 212, display controller 256, contact/motion module 230, graphics module 232, text input module 234, and browser module 247, widget modules 249 are mini-applications that can be downloaded and used by a user (e.g., weather widget 249-1, stocks widget 249-2, calculator widget 249-3, alarm clock widget 249-4, and dictionary widget 249-5) or created by the user (e.g., user-created widget 249-6). In some embodiments, a widget includes an HTML (Hypertext Markup Language) file, a CSS (Cascading Style Sheets) file, and a JavaScript file. In some embodiments, a widget includes an XML (Extensible Markup Language) file and a JavaScript file (e.g., Yahoo! Widgets).
[0109] [0109] In conjunction with RF circuitry 208, touch screen 212, display controller 256, contact/motion module 230, graphics module 232, text input module 234, and browser module 247, the widget creator module 250 are used by a user to create widgets (e.g., turning a user- specified portion of a web page into a widget).
[0110] [0110] In conjunction with touch screen 212, display controller 256, contact/motion module 230, graphics module 232, and text input module 234, search module 251 includes executable instructions to search for text, music, sound, image, video, and/or other files in memory 202 that match one or more search criteria (e.g., one or more user-specified search terms) in accordance with user instructions.
[0111] [0111] In conjunction with touch screen 212, display controller 256, contact/motion module 230, graphics module 232, audio circuitry 210, speaker 211, RF circuitry 208, and browser module 247, video and music player module 252 includes executable instructions that allow the user to download and play back recorded music and other sound files stored in one or more file
[0112] [0112] In conjunction with touch screen 212, display controller 256, contact/motion module 230, graphics module 232, and text input module 234, notes module 253 includes executable instructions to create and manage notes, to-do lists, and the like in accordance with user instructions.
[0113] [0113] In conjunction with RF circuitry 208, touch screen 212, display controller 256, contact/motion module 230, graphics module 232, text input module 234, GPS module 235, and browser module 247, map module 254 are used to receive, display, modify, and store maps and data associated with maps (e.g., driving directions, data on stores and other points of interest at or near a particular location, and other location-based data) in accordance with user instructions.
[0114] [0114] In conjunction with touch screen 212, display controller 256, contact/motion module — 230, graphics module 232, audio circuitry 210, speaker 211, RF circuitry 208, text input module 234, e-mail client module 240, and browser module 247, online video module 255 includes instructions that allow the user to access, browse, receive (e.g., by streaming and/or download), play back (e.g., on the touch screen or on an external, connected display via external port 224), send an e-mail with a link to a particular online video, and otherwise manage online videos in — one or more file formats, such as H.264. In some embodiments, instant messaging module 241, rather than e-mail client module 240, is used to send a link to a particular online video. Additional description of the online video application can be found in U.S. Provisional Patent Application No. 60/936,562, "Portable Multifunction Device, Method, and Graphical User Interface for Playing Online Videos,” filed June 20, 2007, and U.S. Patent Application No.
[0115] [0115] Each of the above-identified modules and applications corresponds to a set of executable instructions for performing one or more functions described above and the methods 31
[0116] [0116] In some embodiments, device 200 is a device where operation of a predefined set of — functions on the device is performed exclusively through a touch screen and/or a touchpad. By using a touch screen and/or a touchpad as the primary input control device for operation of device 200, the number of physical input control devices (such as push buttons, dials, and the like) on device 200 is reduced.
[0117] [0117] The predefined set of functions that are performed exclusively through a touch screen and/or a touchpad optionally include navigation between user interfaces. In some embodiments, the touchpad, when touched by the user, navigates device 200 to a main, home, or root menu from any user interface that is displayed on device 200. In such embodiments, a “menu button” is implemented using a touchpad. In some other embodiments, the menu button is a physical push button or other physical input control device instead of a touchpad.
[0118] [0118] FIG. 2B is a block diagram illustrating exemplary components for event handling in accordance with some embodiments. In some embodiments, memory 202 (FIG. 2A) or 470 (FIG. 4) includes event sorter 270 (e.g., in operating system 226) and a respective application 236-1 (e.g., any of the aforementioned applications 237-251, 255, 480-490).
[0119] [0119] Event sorter 270 receives event information and determines the application 236-1 and application view 291 of application 236-1 to which to deliver the event information. Event sorter 270 includes event monitor 271 and event dispatcher module 274. In some embodiments, application 236-1 includes application internal state 292, which indicates the current application view(s) displayed on touch-sensitive display 212 when the application is active or executing. In some embodiments, device/global internal state 257 is used by event sorter 270 to determine 32 which application(s) is (are) currently active, and application internal state 292 is used by event sorter 270 to determine application views 291 to which to deliver event information.
[0120] [0120] In some embodiments, application internal state 292 includes additional information, such as one or more of: resume information to be used when application 236-1 resumes execution, user interface state information that indicates information being displayed or that is ready for display by application 236-1, a state queue for enabling the user to go back to a prior state or view of application 236-1, and a redo/undo queue of previous actions taken by the user.
[0121] [0121] Event monitor 271 receives event information from peripherals interface 218. Event information includes information about a sub-event (e.g., a user touch on touch-sensitive display 212, as part of a multi-touch gesture). Peripherals interface 218 transmits information it receives from I/O subsystem 206 or a sensor, such as proximity sensor 266, accelerometer(s) 268, and/or microphone 213 (through audio circuitry 210). Information that peripherals interface 218 receives from I/O subsystem 206 includes information from touch-sensitive display 212 or a touch-sensitive surface.
[0122] [0122] In some embodiments, event monitor 271 sends requests to the peripherals interface 218 at predetermined intervals. In response, peripherals interface 218 transmits event information. In other embodiments, peripherals interface 218 transmits event information only when there is a significant event (e.g., receiving an input above a predetermined noise threshold and/or for more than a predetermined duration).
[0123] [0123] In some embodiments, event sorter 270 also includes a hit view determination module 272 and/or an active event recognizer determination module 273.
[0124] [0124] Hit view determination module 272 provides software procedures for determining where a sub-event has taken place within one or more views when touch-sensitive display 212 displays more than one view. Views are made up of controls and other elements that a user can see on the display.
[0125] [0125] Another aspect of the user interface associated with an application is a set of views, sometimes herein called application views or user interface windows, in which information is displayed and touch-based gestures occur. The application views (of a respective application) in 33
[0126] [0126] Hit view determination module 272 receives information related to sub events of a touch-based gesture. When an application has multiple views organized in a hierarchy, hit view determination module 272 identifies a hit view as the lowest view in the hierarchy which should handle the sub-event. In most circumstances, the hit view is the lowest level view in which an initiating sub-event occurs (e.g., the first sub-event in the sequence of sub-events that form an — event or potential event). Once the hit view is identified by the hit view determination module 272, the hit view typically receives all sub-events related to the same touch or input source for which it was identified as the hit view.
[0127] [0127] Active event recognizer determination module 273 determines which view or views within a view hierarchy should receive a particular sequence of sub-events. In some embodiments, active event recognizer determination module 273 determines that only the hit view should receive a particular sequence of sub-events. In other embodiments, active event recognizer determination module 273 determines that all views that include the physical location of a sub-event are actively involved views, and therefore determines that all actively involved views should receive a particular sequence of sub-events. In other embodiments, even if touch sub-events were entirely confined to the area associated with one particular view, views higher in the hierarchy would still remain as actively involved views.
[0128] [0128] Event dispatcher module 274 dispatches the event information to an event recognizer (e.g., event recognizer 280). In embodiments including active event recognizer determination module 273, event dispatcher module 274 delivers the event information to an event recognizer — determined by active event recognizer determination module 273. In some embodiments, event dispatcher module 274 stores in an event queue the event information, which is retrieved by a respective event receiver 282.
[0129] [0129] In some embodiments, operating system 226 includes event sorter 270. Alternatively, application 236-1 includes event sorter 270. In yet other embodiments, event sorter 270 is a 34
[0130] [0130] In some embodiments, application 236-1 includes a plurality of event handlers 290 and one or more application views 291, each of which includes instructions for handling touch events that occur within a respective view of the application’s user interface. Each application view 291 of the application 236-1 includes one or more event recognizers 280. Typically, a respective application view 291 includes a plurality of event recognizers 280. In other embodiments, one or more of event recognizers 280 are part of a separate module, such as a user interface kit (not shown) or a higher level object from which application 236-1 inherits methods — and other properties. In some embodiments, a respective event handler 290 includes one or more of: data updater 276, object updater 277, GUI updater 278, and/or event data 279 received from event sorter 270. Event handler 290 utilizes or calls data updater 276, object updater 277, or GUI updater 278 to update the application internal state 292. Alternatively, one or more of the application views 291 include one or more respective event handlers 290. Also, in some embodiments, one or more of data updater 276, object updater 277, and GUI updater 278 are included in a respective application view 291.
[0131] [0131] A respective event recognizer 280 receives event information (e.g., event data 279) from event sorter 270 and identifies an event from the event information. Event recognizer 280 includes event receiver 282 and event comparator 284. In some embodiments, event recognizer — 280 also includes at least a subset of: metadata 283, and event delivery instructions 288 (which include sub-event delivery instructions).
[0132] [0132] Event receiver 282 receives event information from event sorter 270. The event information includes information about a sub-event, for example, a touch or a touch movement. Depending on the sub-event, the event information also includes additional information, such as location of the sub-event. When the sub-event concerns motion of a touch, the event information also includes speed and direction of the sub-event. In some embodiments, events include rotation of the device from one orientation to another (e.g., from a portrait orientation to a landscape orientation, or vice versa), and the event information includes corresponding information about the current orientation (also called device attitude) of the device.
[0133] [0133] Event comparator 284 compares the event information to predefined event or sub- event definitions and, based on the comparison, determines an event or sub event, or determines or updates the state of an event or sub-event. In some embodiments, event comparator 284 includes event definitions 286. Event definitions 286 contain definitions of events (e.g., predefined sequences of sub-events), for example, event 1 (287-1), event 2 (287-2), and others. In some embodiments, sub-events in an event (287) include, for example, touch begin, touch end, touch movement, touch cancellation, and multiple touching. In one example, the definition for event 1 (287-1) is a double tap on a displayed object. The double tap, for example, comprises a first touch (touch begin) on the displayed object for a predetermined phase, a first liftoff (touch — end) for a predetermined phase, a second touch (touch begin) on the displayed object for a predetermined phase, and a second liftoff (touch end) for a predetermined phase. In another example, the definition for event 2 (287-2) is a dragging on a displayed object. The dragging, for example, comprises a touch (or contact) on the displayed object for a predetermined phase, a movement of the touch across touch-sensitive display 212, and liftoff of the touch (touch end).
[0134] [0134] In some embodiments, event definition 287 includes a definition of an event for a respective user-interface object. In some embodiments, event comparator 284 performs a hit test to determine which user-interface object is associated with a sub-event. For example, in an — application view in which three user-interface objects are displayed on touch-sensitive display 212, when a touch is detected on touch-sensitive display 212, event comparator 284 performs a hit test to determine which of the three user-interface objects is associated with the touch (sub- event). If each displayed object is associated with a respective event handler 290, the event comparator uses the result of the hit test to determine which event handler 290 should be activated. For example, event comparator 284 selects an event handler associated with the sub- event and the object triggering the hit test.
[0135] [0135] In some embodiments, the definition for a respective event (287) also includes delayed actions that delay delivery of the event information until after it has been determined whether the sequence of sub-events does or does not correspond to the event recognizer’s event type.
[0136] [0136] When a respective event recognizer 280 determines that the series of sub-events do not match any of the events in event definitions 286, the respective event recognizer 280 enters an event impossible, event failed, or event ended state, after which it disregards subsequent sub- events of the touch-based gesture. In this situation, other event recognizers, if any, that remain active for the hit view continue to track and process sub-events of an ongoing touch-based gesture.
[0137] [0137] In some embodiments, a respective event recognizer 280 includes metadata 283 with configurable properties, flags, and/or lists that indicate how the event delivery system should perform sub-event delivery to actively involved event recognizers. In some embodiments, metadata 283 includes configurable properties, flags, and/or lists that indicate how event recognizers interact, or are enabled to interact, with one another. In some embodiments, metadata 283 includes configurable properties, flags, and/or lists that indicate whether sub- events are delivered to varying levels in the view or programmatic hierarchy.
[0138] [0138] In some embodiments, a respective event recognizer 280 activates event handler 290 — associated with an event when one or more particular sub-events of an event are recognized. In some embodiments, a respective event recognizer 280 delivers event information associated with the event to event handler 290. Activating an event handler 290 is distinct from sending (and deferred sending) sub-events to a respective hit view. In some embodiments, event recognizer 280 throws a flag associated with the recognized event, and event handler 290 associated with the flag catches the flag and performs a predefined process.
[0139] [0139] In some embodiments, event delivery instructions 288 include sub-event delivery instructions that deliver event information about a sub-event without activating an event handler. Instead, the sub-event delivery instructions deliver event information to event handlers associated with the series of sub-events or to actively involved views. Event handlers associated — with the series of sub-events or with actively involved views receive the event information and perform a predetermined process.
[0140] [0140] In some embodiments, data updater 276 creates and updates data used in application 236-1. For example, data updater 276 updates the telephone number used in contacts module 237, or stores a video file used in video player module. In some embodiments, object updater — 277 creates and updates objects used in application 236-1. For example, object updater 277 37
[0141] [0141] In some embodiments, event handler(s) 290 includes or has access to data updater 276, object updater 277, and GUI updater 278. In some embodiments, data updater 276, object updater 277, and GUI updater 278 are included in a single module of a respective application 236-1 or application view 291. In other embodiments, they are included in two or more software modules.
[0142] [0142] It shall be understood that the foregoing discussion regarding event handling of user touches on touch-sensitive displays also applies to other forms of user inputs to operate multifunction devices 200 with input devices, not all of which are initiated on touch screens. For example, mouse movement and mouse button presses, optionally coordinated with single or multiple keyboard presses or holds; contact movements such as taps, drags, scrolls, etc. on touchpads; pen stylus inputs; movement of the device; oral instructions; detected eye movements; biometric inputs; and/or any combination thereof are optionally utilized as inputs corresponding to sub-events which define an event to be recognized.
[0143] [0143] FIG. 3 illustrates a portable multifunction device 200 having a touch screen 212 in accordance with some embodiments. The touch screen optionally displays one or more graphics within user interface (UI) 300. In this embodiment, as well as others described below, a user is — enabled to select one or more of the graphics by making a gesture on the graphics, for example, with one or more fingers 302 (not drawn to scale in the figure) or one or more styluses 303 (not drawn to scale in the figure). In some embodiments, selection of one or more graphics occurs when the user breaks contact with the one or more graphics. In some embodiments, the gesture optionally includes one or more taps, one or more swipes (from left to right, right to left, upward and/or downward), and/or a rolling of a finger (from right to left, left to right, upward and/or downward) that has made contact with device 200. In some implementations or circumstances, inadvertent contact with a graphic does not select the graphic. For example, a swipe gesture that sweeps over an application icon optionally does not select the corresponding application when the gesture corresponding to selection is a tap.
[0144] [0144] Device 200 also includes one or more physical buttons, such as “home” or menu button 304. As described previously, menu button 304 is used to navigate to any application 236 in a set of applications that is executed on device 200. Alternatively, in some embodiments, the menu button is implemented as a soft key in a GUI displayed on touch screen 212.
[0145] [0145] In one embodiment, device 200 includes touch screen 212, menu button 304, push button 306 for powering the device on/off and locking the device, volume adjustment button(s) 308, subscriber identity module (SIM) card slot 310, headset jack 312, and docking/charging external port 224. Push button 306 is, optionally, used to turn the power on/off on the device by depressing the button and holding the button in the depressed state for a predefined time interval; to lock the device by depressing the button and releasing the button before the predefined time interval has elapsed; and/or to unlock the device or initiate an unlock process. In an alternative embodiment, device 200 also accepts verbal input for activation or deactivation of some functions through microphone 213. Device 200 also, optionally, includes one or more contact intensity sensors 265 for detecting intensity of contacts on touch screen 212 and/or one or more tactile output generators 267 for generating tactile outputs for a user of device 200.
[0146] [0146] FIG. 4 is a block diagram of an exemplary multifunction device with a display and a touch-sensitive surface in accordance with some embodiments. Device 400 need not be portable. In some embodiments, device 400 is a laptop computer, a desktop computer, a tablet computer, a multimedia player device, a navigation device, an educational device (such as a child’s learning toy), a gaming system, or a control device (e.g., a home or industrial controller). Device 400 typically includes one or more processing units (CPUs) 410, one or more network or other communications interfaces 460, memory 470, and one or more communication buses 420 for interconnecting these components. Communication buses 420 optionally include circuitry (sometimes called a chipset) that interconnects and controls communications between system components. Device 400 includes input/output (I/O) interface 430 comprising display 440, which is typically a touch screen display. 1/O interface 430 also optionally includes a keyboard and/or mouse (or other pointing device) 450 and touchpad 455, tactile output generator 457 for generating tactile outputs on device 400 (e.g., similar to tactile output generator(s) 267 described above with reference to FIG. 2A), sensors 459 (e.g., optical, acceleration, proximity, touch- sensitive, and/or contact intensity sensors similar to contact intensity sensor(s) 265 described above with reference to FIG. 2A). Memory 470 includes high-speed random access memory, 39
[0147] [0147] Each of the above-identified elements in FIG. 4 is, in some examples, stored in one or more of the previously mentioned memory devices. Each of the above-identified modules corresponds to a set of instructions for performing a function described above. The above- identified modules or programs (e.g., sets of instructions) need not be implemented as separate software programs, procedures, or modules, and thus various subsets of these modules are combined or otherwise rearranged in various embodiments. In some embodiments, memory 470 stores a subset of the modules and data structures identified above. Furthermore, memory 470 stores additional modules and data structures not described above.
[0148] [0148] Attention is now directed towards embodiments of user interfaces that can be implemented on, for example, portable multifunction device 200.
[0149] [0149] FIG. 5A illustrates an exemplary user interface for a menu of applications on portable multifunction device 200 in accordance with some embodiments. Similar user interfaces are implemented on device 400. In some embodiments, user interface 500 includes the following elements, or a subset or superset thereof:
[0150] [0150] Signal strength indicator(s) 502 for wireless communication(s), such as cellular and Wi-Fi signals; e Time 504; 40
[0151] [0151] It should be noted that the icon labels illustrated in FIG. SA are merely exemplary. For example, icon 522 for video and music player module 252 is optionally labeled “Music” or “Music Player.” Other labels are, optionally, used for various application icons. In some embodiments, a label for a respective application icon includes a name of an application — corresponding to the respective application icon. In some embodiments, a label for a particular application icon is distinct from a name of an application corresponding to the particular application icon.
[0152] [0152] FIG. 5B illustrates an exemplary user interface on a device (e.g., device 400, FIG. 4) with a touch-sensitive surface 551 (e.g., a tablet or touchpad 455, FIG. 4) that is separate from — the display 550 (e.g., touch screen display 212). Device 400 also, optionally, includes one or more contact intensity sensors (e.g., one or more of sensors 457) for detecting intensity of contacts on touch-sensitive surface 551 and/or one or more tactile output generators 459 for generating tactile outputs for a user of device 400.
[0153] [0153] Although some of the examples which follow will be given with reference to inputs on touch screen display 212 (where the touch-sensitive surface and the display are combined), in some embodiments, the device detects inputs on a touch-sensitive surface that is separate from the display, as shown in FIG. 5B. In some embodiments, the touch-sensitive surface (e.g., 551 in FIG. 5B) has a primary axis (e.g., 552 in FIG. 5B) that corresponds to a primary axis (e.g., 553 in FIG. 5B) on the display (e.g., 550). In accordance with these embodiments, the device detects contacts (e.g., 560 and 562 in FIG. 5B) with the touch-sensitive surface 551 at locations that correspond to respective locations on the display (e.g., in FIG. 5B, 560 corresponds to 568 and 562 corresponds to 570). In this way, user inputs (e.g., contacts 560 and 562, and movements thereof) detected by the device on the touch-sensitive surface (e.g., 551 in FIG. 5B) are used by the device to manipulate the user interface on the display (e.g., 550 in FIG. 5B) of the multifunction device when the touch-sensitive surface is separate from the display. It should be understood that similar methods are, optionally, used for other user interfaces described herein.
[0154] [0154] Additionally, while the following examples are given primarily with reference to finger inputs (e.g., finger contacts, finger tap gestures, finger swipe gestures), it should be understood that, in some embodiments, one or more of the finger inputs are replaced with input — from another input device (e.g., a mouse-based input or stylus input). For example, a swipe 42
[0155] [0155] FIG. 6A illustrates exemplary personal electronic device 600. Device 600 includes body 602. In some embodiments, device 600 includes some or all of the features described with — respect to devices 200 and 400 (e.g., FIGS. 2A-4). In some embodiments, device 600 has touch- sensitive display screen 604, hereafter touch screen 604. Alternatively, or in addition to touch screen 604, device 600 has a display and a touch-sensitive surface. As with devices 200 and 400, in some embodiments, touch screen 604 (or the touch-sensitive surface) has one or more intensity sensors for detecting intensity of contacts (e.g., touches) being applied. The one or more intensity sensors of touch screen 604 (or the touch-sensitive surface) provide output data that represents the intensity of touches. The user interface of device 600 responds to touches based on their intensity, meaning that touches of different intensities can invoke different user interface operations on device 600.
[0156] [0156] Techniques for detecting and processing touch intensity are found, for example, in — related applications: International Patent Application Serial No. PCT/US2013/040061, titled "Device, Method, and Graphical User Interface for Displaying User Interface Objects Corresponding to an Application,” filed May 8, 2013, and International Patent Application Serial No. PCT/US2013/069483, titled "Device, Method, and Graphical User Interface for Transitioning Between Touch Input to Display Output Relationships,” filed November 11, 2013, each of which is hereby incorporated by reference in their entirety.
[0157] [0157] In some embodiments, device 600 has one or more input mechanisms 606 and 608. Input mechanisms 606 and 608, if included, are physical. Examples of physical input mechanisms include push buttons and rotatable mechanisms. In some embodiments, device 600 has one or more attachment mechanisms. Such attachment mechanisms, if included, can permit attachment of device 600 with, for example, hats, eyewear, earrings, necklaces, shirts, jackets, 43
[0158] [0158] FIG. 6B depicts exemplary personal electronic device 600. In some embodiments, device 600 includes some or all of the components described with respect to FIGS. 2A, 2B, and
[0159] [0159] Input mechanism 608 is a microphone, in some examples. Personal electronic device 600 includes, for example, various sensors, such as GPS sensor 632, accelerometer 634, directional sensor 640 (e.g., compass), gyroscope 636, motion sensor 638, and/or a combination thereof, all of which are operatively connected to I/O section 614.
[0160] [0160] Memory 618 of personal electronic device 600 is a non-transitory computer-readable storage medium, for storing computer-executable instructions, which, when executed by one or more computer processors 616, for example, cause the computer processors to perform the techniques and processes described below. The computer-executable instructions, for example, are also stored and/or transported within any non-transitory computer-readable storage medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. Personal electronic device 600 is not limited to the components and configuration of FIG. 6B, but can include other or additional components in multiple configurations.
[0161] [0161] As used here, the term "affordance” refers to a user-interactive graphical user interface object that is, for example, displayed on the display screen of devices 200, 400, 600, 800, and/or 810 (FIGS. 2A, 4, 6A-6B, 8A, 8C, 9A-9D). For example, an image (e.g., icon), a — button, and text (e.g., hyperlink) each constitutes an affordance.
[0162] [0162] As used herein, the term “focus selector” refers to an input element that indicates a current part of a user interface with which a user is interacting. In some implementations that include a cursor or other location marker, the cursor acts as a “focus selector” so that when an input (e.g., a press input) is detected on a touch-sensitive surface (e.g., touchpad 455 in FIG. 4 or touch-sensitive surface 551 in FIG. SB) while the cursor is over a particular user interface element (e.g., a button, window, slider or other user interface element), the particular user interface element is adjusted in accordance with the detected input. In some implementations that include a touch screen display (e.g., touch-sensitive display system 212 in FIG. 2A or touch screen 212 in FIG. 5A) that enables direct interaction with user interface elements on the touch — screen display, a detected contact on the touch screen acts as a “focus selector” so that when an input (e.g., a press input by the contact) is detected on the touch screen display at a location of a particular user interface element (e.g., a button, window, slider, or other user interface element), the particular user interface element is adjusted in accordance with the detected input. In some implementations, focus is moved from one region of a user interface to another region of the user interface without corresponding movement of a cursor or movement of a contact on a touch screen display (e.g., by using a tab key or arrow keys to move focus from one button to another button); in these implementations, the focus selector moves in accordance with movement of focus between different regions of the user interface. Without regard to the specific form taken by the focus selector, the focus selector is generally the user interface element (or contact on a touch screen display) that is controlled by the user so as to communicate the user's intended interaction with the user interface (e.g., by indicating, to the device, the element of the user interface with which the user is intending to interact). For example, the location of a focus selector (e.g., a cursor, a contact, or a selection box) over a respective button while a press input is detected on the touch-sensitive surface (e.g., a touchpad or touch screen) will indicate that the user is intending to activate the respective button (as opposed to other user interface elements shown on a display of the device).
[0163] [0163] As used in the specification and claims, the term “characteristic intensity” of a contact refers to a characteristic of the contact based on one or more intensities of the contact. In some embodiments, the characteristic intensity is based on multiple intensity samples. The characteristic intensity is, optionally, based on a predefined number of intensity samples, or a set of intensity samples collected during a predetermined time period (e.g., 0.05, 0.1, 0.2, 0.5, 1, 2, 45
[0164] [0164] In some embodiments, a portion of a gesture is identified for purposes of determining a characteristic intensity. For example, a touch-sensitive surface receives a continuous swipe — contact transitioning from a start location and reaching an end location, at which point the intensity of the contact increases. In this example, the characteristic intensity of the contact at the end location is based on only a portion of the continuous swipe contact, and not the entire swipe contact (e.g., only the portion of the swipe contact at the end location). In some embodiments, a smoothing algorithm is applied to the intensities of the swipe contact prior to determining the characteristic intensity of the contact. For example, the smoothing algorithm optionally includes one or more of: an unweighted sliding-average smoothing algorithm, a 46
[0165] [0165] The intensity of a contact on the touch-sensitive surface is characterized relative to one or more intensity thresholds, such as a contact-detection intensity threshold, a light press intensity threshold, a deep press intensity threshold, and/or one or more other intensity thresholds. In some embodiments, the light press intensity threshold corresponds to an intensity at which the device will perform operations typically associated with clicking a button of a physical mouse or a trackpad. In some embodiments, the deep press intensity threshold corresponds to an intensity at which the device will perform operations that are different from operations typically associated with clicking a button of a physical mouse or a trackpad. In some embodiments, when a contact is detected with a characteristic intensity below the light press intensity threshold (e.g., and above a nominal contact-detection intensity threshold below which the contact is no longer detected), the device will move a focus selector in accordance with movement of the contact on the touch-sensitive surface without performing an operation associated with the light press intensity threshold or the deep press intensity threshold. Generally, unless otherwise stated, these intensity thresholds are consistent between different sets of user interface figures.
[0166] [0166] An increase of characteristic intensity of the contact from an intensity below the light press intensity threshold to an intensity between the light press intensity threshold and the deep press intensity threshold is sometimes referred to as a “light press” input. An increase of characteristic intensity of the contact from an intensity below the deep press intensity threshold to an intensity above the deep press intensity threshold is sometimes referred to as a “deep press” input. An increase of characteristic intensity of the contact from an intensity below the contact- detection intensity threshold to an intensity between the contact-detection intensity threshold and the light press intensity threshold is sometimes referred to as detecting the contact on the touch- surface. A decrease of characteristic intensity of the contact from an intensity above the contact- detection intensity threshold to an intensity below the contact-detection intensity threshold is — sometimes referred to as detecting liftoff of the contact from the touch-surface. In some 47
[0167] [0167] In some embodiments described herein, one or more operations are performed in response to detecting a gesture that includes a respective press input or in response to detecting the respective press input performed with a respective contact (or a plurality of contacts), where the respective press input is detected based at least in part on detecting an increase in intensity of the contact (or plurality of contacts) above a press-input intensity threshold. In some embodiments, the respective operation is performed in response to detecting the increase in intensity of the respective contact above the press-input intensity threshold (e.g., a “down stroke” of the respective press input). In some embodiments, the press input includes an increase in intensity of the respective contact above the press-input intensity threshold and a subsequent decrease in intensity of the contact below the press-input intensity threshold, and the respective operation is performed in response to detecting the subsequent decrease in intensity of the respective contact below the press-input threshold (e.g., an “up stroke” of the respective press input).
[0168] [0168] In some embodiments, the device employs intensity hysteresis to avoid accidental inputs sometimes termed “jitter,” where the device defines or selects a hysteresis intensity threshold with a predefined relationship to the press-input intensity threshold (e.g., the hysteresis intensity threshold is X intensity units lower than the press-input intensity threshold or the hysteresis intensity threshold is 75%, 90%, or some reasonable proportion of the press-input intensity threshold). Thus, in some embodiments, the press input includes an increase in intensity of the respective contact above the press-input intensity threshold and a subsequent decrease in intensity of the contact below the hysteresis intensity threshold that corresponds to the press-input intensity threshold, and the respective operation is performed in response to detecting the subsequent decrease in intensity of the respective contact below the hysteresis intensity threshold (e.g., an “up stroke” of the respective press input). Similarly, in some embodiments, the press input is detected only when the device detects an increase in intensity of the contact from an intensity at or below the hysteresis intensity threshold to an intensity at or above the press-input intensity threshold and, optionally, a subsequent decrease in intensity of the contact to an intensity at or below the hysteresis intensity, and the respective operation is 48
[0169] [0169] For ease of explanation, the descriptions of operations performed in response to a press input associated with a press-input intensity threshold or in response to a gesture including — the press input are, optionally, triggered in response to detecting either: an increase in intensity of a contact above the press-input intensity threshold, an increase in intensity of a contact from an intensity below the hysteresis intensity threshold to an intensity above the press-input intensity threshold, a decrease in intensity of the contact below the press-input intensity threshold, and/or a decrease in intensity of the contact below the hysteresis intensity threshold — corresponding to the press-input intensity threshold. Additionally, in examples where an operation is described as being performed in response to detecting a decrease in intensity of a contact below the press-input intensity threshold, the operation is, optionally, performed in response to detecting a decrease in intensity of the contact below a hysteresis intensity threshold corresponding to, and lower than, the press-input intensity threshold.
[0170] [0170] FIG. 7A illustrates a block diagram of digital assistant system 700 in accordance with various examples. In some examples, digital assistant system 700 is implemented on a standalone computer system. In some examples, digital assistant system 700 is distributed across multiple computers. In some examples, some of the modules and functions of the digital — assistant are divided into a server portion and a client portion, where the client portion resides on one or more user devices (e.g., devices 104, 122, 200, 400, 600, 800, and/or 810) and communicates with the server portion (e.g., server system 108) through one or more networks, e.g., as shown in FIG. 1. In some examples, digital assistant system 700 is an implementation of server system 108 (and/or DA server 106) shown in FIG. 1. It should be noted that digital assistant system 700 is only one example of a digital assistant system, and that digital assistant system 700 can have more or fewer components than shown, can combine two or more components, or can have a different configuration or arrangement of the components. The various components shown in FIG. 7A are implemented in hardware, software instructions for execution by one or more processors, firmware, including one or more signal processing and/or application specific integrated circuits, or a combination thereof.
[0171] [0171] Digital assistant system 700 includes memory 702, one or more processors 704, input/output (I/O) interface 706, and network communications interface 708. These components can communicate with one another over one or more communication buses or signal lines 710.
[0172] [0172] In some examples, memory 702 includes a non-transitory computer-readable medium, such as high-speed random access memory and/or a non-volatile computer-readable storage medium (e.g., one or more magnetic disk storage devices, flash memory devices, or other non-volatile solid-state memory devices).
[0173] [0173] In some examples, I/O interface 706 couples input/output devices 716 of digital assistant system 700, such as displays, keyboards, touch screens, and microphones, to user — interface module 722. 1/O interface 706, in conjunction with user interface module 722, receives user inputs (e.g., voice input, keyboard inputs, touch inputs, etc.) and processes them accordingly. In some examples, e.g., when the digital assistant is implemented on a standalone user device, digital assistant system 700 includes any of the components and I/O communication interfaces described with respect to devices 200, 400, 600, 800, or 810 in FIGS. 2A, 4, 6A-6B, 8A, 8C, and 9A-9D. In some examples, digital assistant system 700 represents the server portion of a digital assistant implementation, and can interact with the user through a client-side portion residing on a user device (e.g., devices 104, 200, 400, 600, 800, or 810).
[0174] [0174] In some examples, the network communications interface 708 includes wired communication port(s) 712 and/or wireless transmission and reception circuitry 714. The wired communication port(s) receives and send communication signals via one or more wired interfaces, e.g., Ethernet, Universal Serial Bus (USB), FIREWIRE, etc. The wireless circuitry 714 receives and sends RF signals and/or optical signals from/to communications networks and other communications devices. The wireless communications use any of a plurality of communications standards, protocols, and technologies, such as GSM, EDGE, CDMA, TDMA, — Bluetooth, Wi-Fi, VoIP, Wi-MAX, or any other suitable communication protocol. Network communications interface 708 enables communication between digital assistant system 700 with networks, such as the Internet, an intranet, and/or a wireless network, such as a cellular telephone network, a wireless local area network (LAN), and/or a metropolitan area network (MAN), and other devices.
[0175] [0175] In some examples, memory 702, or the computer-readable storage media of memory 702, stores programs, modules, instructions, and data structures including all or a subset of: operating system 718, communications module 720, user interface module 722, one or more applications 724, and digital assistant module 726. In particular, memory 702, or the computer- readable storage media of memory 702, stores instructions for performing the processes described below. One or more processors 704 execute these programs, modules, and instructions, and reads/writes from/to the data structures.
[0176] [0176] Operating system 718 (e.g., Darwin, RTXC, LINUX, UNIX, iOS, OS X, WINDOWS, or an embedded operating system such as VxWorks) includes various software components and/or drivers for controlling and managing general system tasks (e.g., memory management, storage device control, power management, etc.) and facilitates communications between various hardware, firmware, and software components.
[0177] [0177] Communications module 720 facilitates communications between digital assistant system 700 with other devices over network communications interface 708. For example, communications module 720 communicates with RF circuitry 208 of electronic devices such as devices 200, 400, and 600 shown in FIGS. 2A, 4, 6A-6B, respectively. Communications module 720 also includes various components for handling data received by wireless circuitry 714 and/or wired communications port 712.
[0178] [0178] User interface module 722 receives commands and/or inputs from a user via I/O interface 706 (e.g., from a keyboard, touch screen, pointing device, controller, and/or microphone), and generate user interface objects on a display. User interface module 722 also prepares and delivers outputs (e.g., speech, sound, animation, text, icons, vibrations, haptic feedback, light, etc.) to the user via the I/O interface 706 (e.g., through displays, audio channels, speakers, touch-pads, etc.).
[0179] [0179] Applications 724 include programs and/or modules that are configured to be executed by one or more processors 704. For example, if the digital assistant system is implemented on a standalone user device, applications 724 include user applications, such as games, a calendar application, a navigation application, or an email application. If digital assistant system 700 is implemented on a server, applications 724 include resource management applications, diagnostic applications, or scheduling applications, for example.
[0180] [0180] Memory 702 also stores digital assistant module 726 (or the server portion of a digital assistant). In some examples, digital assistant module 726 includes the following sub-modules, or a subset or superset thereof: input/output processing module 728, speech-to-text (STT) processing module 730, natural language processing module 732, dialogue flow processing module 734, task flow processing module 736, service processing module 738, and speech synthesis processing module 740. Each of these modules has access to one or more of the following systems or data and models of the digital assistant module 726, or a subset or superset thereof: ontology 760, vocabulary index 744, user data 748, task flow models 754, service models 756, and ASR systems 758.
[0181] [0181] In some examples, using the processing modules, data, and models implemented in digital assistant module 726, the digital assistant can perform at least some of the following: converting speech input into text; identifying a user's intent expressed in a natural language input received from the user; actively eliciting and obtaining information needed to fully infer the user’s intent (e.g., by disambiguating words, games, intentions, etc.); determining the task flow — for fulfilling the inferred intent; and executing the task flow to fulfill the inferred intent.
[0182] [0182] In some examples, as shown in FIG. 7B, I/O processing module 728 interacts with the user through I/O devices 716 in FIG. 7A or with a user device (e.g., devices 104, 200, 400, or 600) through network communications interface 708 in FIG. 7A to obtain user input (e.g., a speech input) and to provide responses (e.g., as speech outputs) to the user input. I/O processing module 728 optionally obtains contextual information associated with the user input from the user device, along with or shortly after the receipt of the user input. The contextual information includes user-specific data, vocabulary, and/or preferences relevant to the user input. In some examples, the contextual information also includes software and hardware states of the user device at the time the user request is received, and/or information related to the surrounding environment of the user at the time that the user request was received. In some examples, 1/0 processing module 728 also sends follow-up questions to, and receive answers from, the user regarding the user request. When a user request is received by I/O processing module 728 and the user request includes speech input, I/O processing module 728 forwards the speech input to STT processing module 730 (or speech recognizer) for speech-to-text conversions.
[0183] [0183] STT processing module 730 includes one or more ASR systems 758. The one or more ASR systems 758 can process the speech input that is received through I/O processing module 728 to produce a recognition result. Each ASR system 758 includes a front-end speech pre-processor. The front-end speech pre-processor extracts representative features from the 5S speech input. For example, the front-end speech pre-processor performs a Fourier transform on the speech input to extract spectral features that characterize the speech input as a sequence of representative multi-dimensional vectors. Further, each ASR system 758 includes one or more speech recognition models (e.g., acoustic models and/or language models) and implements one or more speech recognition engines. Examples of speech recognition models include Hidden Markov Models, Gaussian-Mixture Models, Deep Neural Network Models, n-gram language models, and other statistical models. Examples of speech recognition engines include the dynamic time warping based engines and weighted finite-state transducers (WFST) based engines. The one or more speech recognition models and the one or more speech recognition engines are used to process the extracted representative features of the front-end speech pre- — processor to produce intermediate recognitions results (e.g., phonemes, phonemic strings, and sub-words), and ultimately, text recognition results (e.g., words, word strings, or sequence of tokens). In some examples, the speech input is processed at least partially by a third-party service or on the user’s device (e.g., device 104, 200, 400, or 600) to produce the recognition result. Once STT processing module 730 produces recognition results containing a text string (e.g., words, or sequence of words, or sequence of tokens), the recognition result is passed to natural language processing module 732 for intent deduction. In some examples, STT processing module 730 produces multiple candidate text representations of the speech input. Each candidate text representation is a sequence of words or tokens corresponding to the speech input. In some examples, each candidate text representation is associated with a speech recognition confidence score. Based on the speech recognition confidence scores, STT processing module 730 ranks the candidate text representations and provides the n-best (e.g., n highest ranked) candidate text representation(s) to natural language processing module 732 for intent deduction, where n is a predetermined integer greater than zero. For example, in one example, only the highest ranked (n=1) candidate text representation is passed to natural language processing module 732 for intent deduction. In another example, the five highest 53
[0184] [0184] More details on the speech-to-text processing are described in U.S. Utility Application Serial No. 13/236,942 for "Consolidating Speech Recognition Results,” filed on September 20, 2011, the entire disclosure of which is incorporated herein by reference.
[0185] [0185] In some examples, STT processing module 730 includes and/or accesses a vocabulary of recognizable words via phonetic alphabet conversion module 731. Each vocabulary word is associated with one or more candidate pronunciations of the word represented in a speech recognition phonetic alphabet. In particular, the vocabulary of recognizable words includes a word that is associated with a plurality of candidate pronunciations. For example, the vocabulary includes the word “tomato” that is associated with the candidate pronunciations of /ta'merrov/ and /to'matou/. Further, vocabulary words are associated with custom candidate pronunciations that are based on previous speech inputs from the user. Such custom candidate pronunciations are stored in STT processing module 730 and are associated with a particular user via the user’s — profile on the device. In some examples, the candidate pronunciations for words are determined based on the spelling of the word and one or more linguistic and/or phonetic rules. In some examples, the candidate pronunciations are manually generated, e.g., based on known canonical pronunciations.
[0186] [0186] In some examples, the candidate pronunciations are ranked based on the commonness of the candidate pronunciation. For example, the candidate pronunciation /to'merrow/ is ranked higher than /tø'matou/, because the former is a more commonly used pronunciation (e.g., among all users, for users in a particular geographical region, or for any other appropriate subset of users). In some examples, candidate pronunciations are ranked based on whether the candidate pronunciation is a custom candidate pronunciation associated with the user. For example, — custom candidate pronunciations are ranked higher than canonical candidate pronunciations. This can be useful for recognizing proper nouns having a unique pronunciation that deviates from canonical pronunciation. In some examples, candidate pronunciations are associated with one or more speech characteristics, such as geographic origin, nationality, or ethnicity. For example, the candidate pronunciation /to'merrov/ is associated with the United States, whereas the candidate pronunciation /t'matov/ is associated with Great Britain. Further, the rank of the 54
[0187] [0187] When a speech input is received, STT processing module 730 is used to determine the phonemes corresponding to the speech input (e.g., using an acoustic model), and then attempt to determine words that match the phonemes (e.g., using a language model). For example, if STT processing module 730 first identifies the sequence of phonemes /ta'me1rov/ corresponding to a portion of the speech input, it can then determine, based on vocabulary index 744, that this sequence corresponds to the word “tomato.”
[0188] [0188] In some examples, STT processing module 730 uses approximate matching techniques to determine words in an utterance. Thus, for example, the STT processing module 730 determines that the sequence of phonemes /to'me1rou/ corresponds to the word “tomato,” even if that particular sequence of phonemes is not one of the candidate sequence of phonemes for that word.
[0189] [0189] Natural language processing module 732 (“natural language processor”) of the digital assistant takes the n-best candidate text representation(s) ("word sequence(s)” or “token sequence(s)”) generated by STT processing module 730, and attempts to associate each of the candidate text representations with one or more “actionable intents” recognized by the digital assistant. An “actionable intent” (or “user intent”) represents a task that can be performed by the digital assistant, and can have an associated task flow implemented in task flow models 754.
[0190] [0190] In some examples, in addition to the sequence of words or tokens obtained from STT processing module 730, natural language processing module 732 also receives contextual information associated with the user request, e.g., from I/O processing module 728. The natural language processing module 732 optionally uses the contextual information to clarify, supplement, and/or further define the information contained in the candidate text representations received from STT processing module 730. The contextual information includes, for example, user preferences, hardware, and/or software states of the user device, sensor information collected before, during, or shortly after the user request, prior interactions (e.g., dialogue) between the digital assistant and the user, and the like. As described herein, contextual information is, in some examples, dynamic, and changes with time, location, content of the dialogue, and other factors.
[0191] [0191] In some examples, the natural language processing is based on, e.g., ontology 760.
[0192] [0192] In some examples, ontology 760 is made up of actionable intent nodes and property nodes. Within ontology 760, each actionable intent node is linked to one or more property nodes either directly or through one or more intermediate property nodes. Similarly, each property node is linked to one or more actionable intent nodes either directly or through one or more intermediate property nodes. For example, as shown in FIG. 7C, ontology 760 includes a “restaurant reservation” node (i.e., an actionable intent node). Property nodes “restaurant,” “date/time” (for the reservation), and “party size” are each directly linked to the actionable intent node (i.e., the “restaurant reservation” node).
[0193] [0193] In addition, property nodes “cuisine,” “price range,” “phone number,” and “location” are sub-nodes of the property node “restaurant,” and are each linked to the “restaurant reservation” node (i.e., the actionable intent node) through the intermediate property node “restaurant.” For another example, as shown in FIG. 7C, ontology 760 also includes a “set reminder” node (i.e., another actionable intent node). Property nodes “date/time” (for setting the reminder) and “subject” (for the reminder) are each linked to the “set reminder” node. Since the property “date/time” is relevant to both the task of making a restaurant reservation and the task of setting a reminder, the property node “date/time” is linked to both the “restaurant reservation” node and the “set reminder” node in ontology 760.
[0194] [0194] An actionable intent node, along with its linked property nodes, is described as a “domain.” In the present discussion, each domain is associated with a respective actionable intent, and refers to the group of nodes (and the relationships there between) associated with the particular actionable intent. For example, ontology 760 shown in FIG. 7C includes an example of restaurant reservation domain 762 and an example of reminder domain 764 within ontology
[0195] [0195] While FIG. 7C illustrates two example domains within ontology 760, other domains include, for example, “find a movie,” “initiate a phone call,” “find directions,” “schedule a meeting,” “send a message,” and “provide an answer to a question,” “read a list,” “providing navigation instructions,” “provide instructions for a task” and so on. A “send a message” domain is associated with a “send a message” actionable intent node, and further includes property nodes such as “recipient(s),” “message type,” and “message body.” The property node “recipient” is further defined, for example, by the sub-property nodes such as “recipient name” and “message address.” 57
[0196] [0196] In some examples, ontology 760 includes all the domains (and hence actionable intents) that the digital assistant is capable of understanding and acting upon. In some examples, ontology 760 is modified, such as by adding or removing entire domains or nodes, or by modifying relationships between the nodes within the ontology 760.
[0197] [0197] In some examples, nodes associated with multiple related actionable intents are clustered under a “super domain” in ontology 760. For example, a “travel” super-domain includes a cluster of property nodes and actionable intent nodes related to travel. The actionable intent nodes related to travel includes “airline reservation,” “hotel reservation,” “car rental,” “get directions,” “find points of interest,” and so on. The actionable intent nodes under the same super domain (e.g., the “travel” super domain) have many property nodes in common. For example, the actionable intent nodes for “airline reservation,” “hotel reservation,” “car rental,” “get directions,” and “find points of interest” share one or more of the property nodes “start location,” “destination,” “departure date/time,” “arrival date/time,” and “party size.”
[0198] [0198] In some examples, each node in ontology 760 is associated with a set of words and/or phrases that are relevant to the property or actionable intent represented by the node. The respective set of words and/or phrases associated with each node are the so-called “vocabulary” associated with the node. The respective set of words and/or phrases associated with each node are stored in vocabulary index 744 in association with the property or actionable intent represented by the node. For example, returning to FIG. 7B, the vocabulary associated with the — node for the property of “restaurant” includes words such as “food,” “drinks,” “cuisine,” “hungry,” “eat,” “pizza,” “fast food,” “meal,” and so on. For another example, the vocabulary associated with the node for the actionable intent of “initiate a phone call” includes words and phrases such as “call,” “phone,” “dial,” “ring,” “call this number,” “make a call to,” and so on. The vocabulary index 744 optionally includes words and phrases in different languages.
[0199] [0199] Natural language processing module 732 receives the candidate text representations (e.g., text string(s) or token sequence(s)) from STT processing module 730, and for each candidate representation, determines what nodes are implicated by the words in the candidate text representation. In some examples, if a word or phrase in the candidate text representation is found to be associated with one or more nodes in ontology 760 (via vocabulary index 744), the — word or phrase “triggers” or “activates” those nodes. Based on the quantity and/or relative 58
[0200] [0200] User data 748 includes user-specific information, such as user-specific vocabulary, — user preferences, user address, user's default and secondary languages, user's contact list, and other short-term or long-term information for each user. In some examples, natural language processing module 732 uses the user-specific information to supplement the information contained in the user input to further define the user intent. For example, for a user request “invite my friends to my birthday party,” natural language processing module 732 is able to access user data 748 to determine who the “friends” are and when and where the “birthday party” would be held, rather than requiring the user to provide such information explicitly in his/her request.
[0201] [0201] It should be recognized that in some examples, natural language processing module 732 is implemented using one or more machine learning mechanisms (e.g., neural networks). In particular, the one or more machine learning mechanisms are configured to receive a candidate text representation and contextual information associated with the candidate text representation. Based on the candidate text representation and the associated contextual information, the one or more machine learning mechanisms are configured to determine intent confidence scores over a set of candidate actionable intents. Natural language processing module 732 can select one or — more candidate actionable intents from the set of candidate actionable intents based on the determined intent confidence scores. In some examples, an ontology (e.g., ontology 760) is also used to select the one or more candidate actionable intents from the set of candidate actionable intents.
[0202] [0202] Other details of searching an ontology based on a token string are described in U.S. Utility Application Serial No. 12/341,743 for “Method and Apparatus for Searching Using An 59
[0203] [0203] In some examples, once natural language processing module 732 identifies an actionable intent (or domain) based on the user request, natural language processing module 732 generates a structured query to represent the identified actionable intent. In some examples, the structured query includes parameters for one or more nodes within the domain for the actionable intent, and at least some of the parameters are populated with the specific information and requirements specified in the user request. For example, the user says “Make me a dinner reservation at a sushi place at 7.” In this case, natural language processing module 732 is able to — correctly identify the actionable intent to be “restaurant reservation” based on the user input. According to the ontology, a structured query for a “restaurant reservation” domain includes parameters such as {Cuisine}, {Time}, {Date}, {Party Size}, and the like. In some examples, based on the speech input and the text derived from the speech input using STT processing module 730, natural language processing module 732 generates a partial structured query for the — restaurant reservation domain, where the partial structured query includes the parameters {Cuisine = "Sushi”) and {Time = "7pm”). However, in this example, the user's utterance contains insufficient information to complete the structured query associated with the domain. Therefore, other necessary parameters such as [Party Size) and (Date) are not specified in the structured query based on the information currently available. In some examples, natural language processing module 732 populates some parameters of the structured query with received contextual information. For example, in some examples, if the user requested a sushi restaurant "near me,” natural language processing module 732 populates a {location} parameter in the structured query with GPS coordinates from the user device.
[0204] [0204] In some examples, natural language processing module 732 identifies multiple candidate actionable intents for each candidate text representation received from STT processing module 730. Further, in some examples, a respective structured query (partial or complete) is generated for each identified candidate actionable intent. Natural language processing module 732 determines an intent confidence score for each candidate actionable intent and ranks the candidate actionable intents based on the intent confidence scores. In some examples, natural language processing module 732 passes the generated structured query (or queries), including any completed parameters, to task flow processing module 736 (“task flow processor”). In some 60
[0205] [0205] Other details of inferring a user intent based on multiple candidate actionable intents determined from multiple candidate text representations of a speech input are described in U.S. Utility Application Serial No. 14/298,725 for "System and Method for Inferring User Intent From Speech Inputs,” filed June 6, 2014, the entire disclosure of which is incorporated herein by reference.
[0206] [0206] Task flow processing module 736 is configured to receive the structured query (or queries) from natural language processing module 732, complete the structured query, if necessary, and perform the actions required to "complete” the user's ultimate request. In some examples, the various procedures necessary to complete these tasks are provided in task flow models 754. In some examples, task flow models 754 include procedures for obtaining additional information from the user and task flows for performing actions associated with the actionable intent.
[0207] [0207] As described above, in order to complete a structured query, task flow processing module 736 needs to initiate additional dialogue with the user in order to obtain additional information, and/or disambiguate potentially ambiguous utterances. When such interactions are necessary, task flow processing module 736 invokes dialogue flow processing module 734 to engage in a dialogue with the user. In some examples, dialogue flow processing module 734 determines how (and/or when) to ask the user for the additional information and receives and processes the user responses. The questions are provided to and answers are received from the — users through I/O processing module 728. In some examples, dialogue flow processing module 734 presents dialogue output to the user via audio and/or visual output, and receives input from the user via spoken or physical (e.g., clicking) responses. Continuing with the example above, when task flow processing module 736 invokes dialogue flow processing module 734 to determine the “party size” and “date” information for the structured query associated with the domain “restaurant reservation,” dialogue flow processing module 734 generates questions such 61
[0208] [0208] Once task flow processing module 736 has completed the structured query for an actionable intent, task flow processing module 736 proceeds to perform the ultimate task associated with the actionable intent. Accordingly, task flow processing module 736 executes the steps and instructions in the task flow model according to the specific parameters contained in the structured query. For example, the task flow model for the actionable intent of “restaurant — reservation” includes steps and instructions for contacting a restaurant and actually requesting a reservation for a particular party size at a particular time. For example, using a structured query such as: {restaurant reservation, restaurant = ABC Café, date = 3/12/2012, time = 7pm, party size = 5), task flow processing module 736 performs the steps of: (1) logging onto a server of the ABC Café or a restaurant reservation system such as OPENTABLEG, (2) entering the date, time, — and party size information in a form on the website, (3) submitting the form, and (4) making a calendar entry for the reservation in the user’s calendar.
[0209] [0209] In some examples, task flow processing module 736 employs the assistance of service processing module 738 (“service processing module”) to complete a task requested in the user input or to provide an informational answer requested in the user input. For example, service — processing module 738 acts on behalf of task flow processing module 736 to make a phone call, set a calendar entry, invoke a map search, invoke or interact with other user applications installed on the user device, and invoke or interact with third-party services (e.g., a restaurant reservation portal, a social networking website, a banking portal, etc.). In some examples, the protocols and application programming interfaces (API) required by each service are specified by a respective — service model among service models 756. Service processing module 738 accesses the appropriate service model for a service and generates requests for the service in accordance with the protocols and APIs required by the service according to the service model.
[0210] [0210] For example, if a restaurant has enabled an online reservation service, the restaurant submits a service model specifying the necessary parameters for making a reservation and the — APIs for communicating the values of the necessary parameter to the online reservation service.
[0211] [0211] In some examples, natural language processing module 732, dialogue flow processing module 734, and task flow processing module 736 are used collectively and iteratively to infer and define the user’s intent, obtain information to further clarify and refine the user intent, and finally generate a response (i.e., an output to the user, or the completion of a task) to fulfill the — user's intent. The generated response is a dialogue response to the speech input that at least partially fulfills the user's intent. Further, in some examples, the generated response is output as a speech output. In these examples, the generated response is sent to speech synthesis processing module 740 (e.g., speech synthesizer) where it can be processed to synthesize the dialogue response in speech form. In yet other examples, the generated response is data content relevant to satisfying a user request in the speech input.
[0212] [0212] In examples where task flow processing module 736 receives multiple structured queries from natural language processing module 732, task flow processing module 736 initially processes the first structured query of the received structured queries to attempt to complete the first structured query and/or execute one or more tasks or actions represented by the first structured query. In some examples, the first structured query corresponds to the highest ranked actionable intent. In other examples, the first structured query is selected from the received structured queries based on a combination of the corresponding speech recognition confidence scores and the corresponding intent confidence scores. In some examples, if task flow processing module 736 encounters an error during processing of the first structured query (e.g., due to an inability to determine a necessary parameter), the task flow processing module 736 can proceed to select and process a second structured query of the received structured queries that corresponds to a lower ranked actionable intent. The second structured query is selected, for example, based on the speech recognition confidence score of the corresponding candidate text representation, the intent confidence score of the corresponding candidate actionable intent, a missing necessary parameter in the first structured query, or any combination thereof.
[0213] [0213] Speech synthesis processing module 740 is configured to synthesize speech outputs for presentation to the user. Speech synthesis processing module 740 synthesizes speech outputs based on text provided by the digital assistant. For example, the generated dialogue response is in the form of a text string. Speech synthesis processing module 740 converts the text string to an audible speech output. Speech synthesis processing module 740 uses any appropriate speech synthesis technique in order to generate speech outputs from text, including, but not limited, to concatenative synthesis, unit selection synthesis, diphone synthesis, domain-specific synthesis, formant synthesis, articulatory synthesis, hidden Markov model (HMM) based synthesis, and sinewave synthesis. In some examples, speech synthesis processing module 740 is configured to synthesize individual words based on phonemic strings corresponding to the words. For example, a phonemic string is associated with a word in the generated dialogue response. The phonemic string is stored in metadata associated with the word. Speech synthesis processing module 740 is configured to directly process the phonemic string in the metadata to synthesize the word in speech form.
[0214] [0214] In some examples, instead of (or in addition to) using speech synthesis processing module 740, speech synthesis is performed on a remote device (e.g., the server system 108), and the synthesized speech is sent to the user device for output to the user. For example, this can occur in some implementations where outputs for a digital assistant are generated at a server system. And because server systems generally have more processing power or resources than a — user device, it is possible to obtain higher quality speech outputs than would be practical with client-side synthesis.
[0215] [0215] Additional details on digital assistants can be found in the U.S. Utility Application No. 12/987,982, entitled “Intelligent Automated Assistant,” filed January 10, 2011, and U.S. Utility Application No. 13/251,088, entitled “Generating and Processing Task Items That Represent Tasks to Perform,” filed September 30, 2011, the entire disclosures of which are incorporated herein by reference.
[0216] [0216] FIGS. 8A-8C and 9A-9D show exemplary systems and techniques for providing and responding to spoken notifications. These figures illustrate some example processes discussed — below, including processes 1000 and 1100 of FIGS. 10A-E and 11A-D, respectively.
[0217] [0217] FIG. 8A shows an electronic device providing an output associated with a notification when a user of the device is not speaking, according to some examples. Specifically, in FIG. 8A, device 800 (e.g., a user’s phone) receives a notification. The notification is a text message from the user's mom asking “where are you ”. According to the techniques discussed below, device — 800 determines that the user is not speaking after receipt of the text message. For example, device 800 determines that within a first predetermined duration after receiving the text message, the user is not speaking for a second predetermined duration. Device 800 thus causes accessory device 810 to provide a spoken output of the text message. In this manner, spoken notification outputs may be provided at appropriate times, such as when a user is not speaking.
[0218] [0218] Device 800 is, for example, implemented using devices 200, 400, or 600, discussed above. In some examples, device 800 includes the modules and functions of a digital assistant described above in FIGS. 7A-7C. In some examples, device 800 includes at least some of the components and functions of system 820, described below. In the example of FIG. 8A, device 800 is a smart phone. However, device 800 device may be any type of device, such as a phone, laptop computer, desktop computer, tablet, wearable device (e.g., smart watch), television, speaker, vehicle console, or any combination thereof.
[0219] [0219] Accessory device 810 is, for example, implemented using device 200, 400, or 600. In some examples, accessory device 810 includes at least some of the components and functions of system 820, described below. In some examples, accessory device 810 is a peripheral device to — device 800, external to device 800, and/or has the same user as device 800. In some examples, accessory device 810 is communicatively coupled to device 800 to enable exchange of data and/or commands between the devices (e.g., via Bluetooth and/or any other communication protocol discussed with respect to RF circuitry 208). In the example of FIG. 8A, device 810 is a headset (e.g., wireless earbuds). However, device 810 may be any type of device, such as a phone, laptop computer, desktop computer, tablet, wearable device (e.g., smart watch), television, speaker, vehicle console, or any combination thereof.
[0220] [0220] In some examples, accessory device 810 includes one or more controllers (e.g., controller 222), processors (e.g., processor 220), memories (e.g., memory 202), microphones (e.g., microphone 213), audio output components (e.g., earbuds or ear pieces), and communication modules and interfaces (e.g., wireless circuitry 714). In some examples, the 65
[0221] [0221] In some examples, accessory device 810 is unable to operate a digital assistant or can operate a digital assistant with limited capability. In some examples, accessory device 810 can operate a digital assistant with full capability. Thus, in some examples, device 810 includes at least some of the modules and functions of a digital assistant discussed above with respect to FIGS. 7A-7C. For example, device 810 can detect a trigger phrase for initiating a digital — assistant (e.g., “Hey Siri”) and transmit speech input to other devices (e.g., device 800) for further processing. However, in some examples, device 810 cannot perform certain processing tasks such as automatic speech recognition, intent determination, task flow processing, and the like. In some examples, device 810 (e.g., earbuds) does not include a graphical user interface to display information and includes only an audio interface to facilitate user interaction with the device.
[0222] [0222] FIG. 8B shows system 820 for providing and responding to spoken notifications, according to some examples. In some examples, system 820 is implemented on a standalone computer system (e.g., device 104, 122, 200, 400, 600, 800, or 810). In some examples, system 820 is distributed across multiple devices (e.g., devices 800 and 810), with the modules and functions of system 820 divided up in any manner between devices 800 and 810. In some examples, some of the modules and functions of system 820 are divided into a server portion and a client portion, where the client portion resides on one or more user devices (e.g., devices 800 and/or 810) and communicates with the server portion (e.g., server system 108, 900) through one or more networks, e.g., as shown in FIG. I. System 820 is implemented using hardware, software, or a combination of hardware and software to carry out the principles discussed herein.
[0223] [0223] System 820 is exemplary, and thus system 820 can have more or fewer components than shown, can combine two or more components, or can have a different configuration or arrangement of the components. Further, although the below discussion describes functions being performed at a single component of system 820, such functions can be performed at other 66
[0224] [0224] System 820 includes notifications module 830. Notifications module 830 receives indications of notifications and causes outputs associated with notifications (notification outputs) tobe provided. In some examples, receiving an indication of a notification includes receiving (or generating) the notification at an electronic device. For example, in FIG. 8A, device 800 receives the text message “where are you ” from the user’s mom. In some examples, receiving an indication of a notification includes receiving the indication from an external electronic device that received the notification. For example, when device 800 (here the external device) receives the notification, device 800 sends an indication of the notification to device 810 and device 810 receives the indication from device 800.
[0225] [0225] In some examples, a notification includes a text message, an email message, an instant message, an emergency alert, a phone/video call notification, a voice mail notification, an application notification (e.g., a notification provided by an application installed on device 800, — such as a news notification, a delivery notification, a flight gate change notification), or a combination thereof. In some examples, devices 800 and/or 810 generate a notification. Exemplary device generated notifications include a low battery notification, a software update notification, and the like.
[0226] [0226] System 820 includes sensor module 840. Sensor module 840 includes sensor(s) such as speech sensor(s) 842 (e.g., microphones) and/or vibration sensor(s) 844 (e.g., bone conduction microphones, accelerometers, gyroscopes, velocity sensors, pressure sensors). In some examples, sensor module 840 obtains data stream(s) from respective sensor(s) in accordance with notifications module 830 receiving an indication of a notification. In some examples, sensor module 840 is implemented on device 810 (e.g., device 810 includes speech sensor(s) — and/or vibration sensor(s)). In some examples, sensor module 840 (e.g., implemented on device 810) sends (e.g., streams) data stream(s) to device 800 and device 800 obtains the data stream(s). Obtaining data stream(s) can allow determination of whether a user is speaking. Determining whether a user is speaking may allow provision of notification outputs when the user is not speaking. This can provide a desirable user experience by preventing a user from being interrupted by spoken notification outputs while speaking.
[0227] [0227] In some examples, sensor module 840 concurrently obtains data streams for a predetermined duration. For example, after an indication of a notification is received, sensor module 840 concurrently samples data from a microphone and a bone conduction microphone for a predetermined duration (e.g., 3, 4, 6, 7, 8, 9, 10 seconds). Thus, sensor module 840 can sample data for a predetermined duration (e.g., time window) to detect user speech (e.g., determine whether the user is speaking) during that duration. As discussed below, in some examples, if user speech is detected for the predetermined duration, a notification output is not provided. In some examples, if user speech is not detected within the predetermined duration, a notification output is provided. The predetermined duration can thus represent a time window — during which notification outputs can be provided.
[0228] [0228] System 820 includes determination module 850. Determination module 850 determines whether to provide a notification output in accordance with notifications module 830 receiving an indication of a notification. In some examples, determining whether to provide a notification output includes determining whether a user would be interrupted by the notification output. In some examples, determining whether a user would be interrupted by a notification output includes determining whether a user is speaking. For example, if it is determined that a user is speaking, listening, e.g., to media or another person, or otherwise engaged in an activity, it is determined that the user would be interrupted by the notification output. For example, if it is determined that the user is not speaking, listening, or otherwise engaged in an activity, it is — determined that the user would not be interrupted by the notification output.
[0229] [0229] In some examples, determining whether a user would be interrupted by a notification output additionally or alternatively includes determining whether the notification is important, timely, and/or relevant, as discussed below with respect to notifications model 854. For example, if a notification is determined as important, timely, and/or relevant, it is determined that — auser would not be interrupted by the notification output. For example, if a notification is determined as not important, not timely, and/or not relevant, it is determined that a user would be interrupted by the notification output.
[0230] [0230] In some examples, determination module 850 obtains data stream(s) from sensor module 840 and determines whether a user is speaking based on processing the obtained data stream(s). In some examples, determination module 850 is implemented on device 810 so that 68
[0231] [0231] In some examples, determination module 850 includes speech detector 852 configured to process data streams. In some examples, speech detector 852 includes a voice — activity detector (VAD) configured to detect speech in a data stream. In some examples, speech detector 852 divides an input data stream into frames (e.g., portions) of a predetermined length, e.g., 25, 50, 100, 200, 300, 400, or 500 milliseconds. In some examples, speech detector 852 determines whether each frame indicates that a user is speaking (indicates user speech). For example, speech detector 852 determines a probability of user speech for each frame and/or makes a “yes” or “no” decision regarding the presence of user speech for each frame. In this manner, speech detector 852 can identify the boundaries of user speech in a data stream and determine the duration(s) during which a user is speaking or not speaking.
[0232] [0232] In some examples, determining that a user is not speaking includes determining that the user is not speaking for a predetermined duration (e.g., 1, 2, 3, 4, or 5 seconds). In some > examples, determining that the user is not speaking includes determining that a portion of a data stream having the predetermined duration indicates no user speech. For example, if speech detector 852 determines that a 2 second portion of a data stream indicates no user speech, determination module 850 determines that the user is not speaking. Thus, notification outputs may be advantageously provided during pauses in (or cessation of) user speech.
[0233] [0233] In some examples, determining that a user is speaking includes determining that the user is speaking for a predetermined duration, such as the time window for which data stream(s) are obtained. For example, if speech detector 852 detects user speech for the entire time window (e.g., no pause in user speech of a predetermined duration in the time window), determination module 850 determines that the user is speaking.
[0234] [0234] In some examples, determination module 850 determines whether a first data stream obtained from a speech sensor (or a portion thereof) indicates user speech. In some examples, determining whether the first data stream indicates user speech includes analyzing the time domain and/or frequency domain features of the first data stream to determine whether such features indicate human speech. Exemplary time domain features include zero crossing rates, short-time energy, spectral energy, spectral flatness, and autocorrelation. Exemplary frequency domain features include mel-frequency cepstral coefficients, linear predictive cepstral coefficients, and mel-frequency discrete wavelet coefficients. In addition to analyzing such features, one of skill in the art will appreciate that any other suitable technique (e.g., comparing — the data stream to a human speech model) may be employed to determine whether a data stream indicates user speech. For example, speech detector 852 processes the first data stream to determine that a 2 second portion of the data stream indicates user speech. For example, speech detector 852 determines that each frame of a consecutive series of frames (having a collective 2 second duration) indicates user speech.
[0235] [0235] Processing only the first data stream may not always accurately determine whether a user of device 810 is speaking. In particular, although processing the first data stream may accurately determine whether speech is generally present, such processing may be unable to distinguish the speech of the user of device 810 from other speech (e.g., background noise including speech). For example if the user is in a noisy environment (e.g., a coffee shop) and is not speaking, processing only the first data stream may incorrectly result in determining that the user is speaking. Accordingly, in some examples, a second data stream is processed (e.g., in addition to or alternatively to the first data stream) to determine whether a user is speaking.
[0236] [0236] In some examples, determination module 850 determines whether a second data stream obtained from a vibration sensor (or a portion thereof) indicates user speech. In some examples, determining that the second data stream indicates user speech includes determining that the second data stream indicates vibrations consistent with user speech. For example, when vibration sensor 844 includes a bone conduction microphone, determining that the second data stream indicates user speech includes determining that the second data stream (e.g., accelerometer data) indicates vibrations consistent with sound conduction through human skull bones. For example, speech detector 852 processes the second data stream to determine that a 2 second portion of the data stream indicates user speech.
[0237] [0237] Processing the second data stream may more accurately determine whether a user of device 810 is speaking. Specifically, the second data stream (e.g., from a bone conduction microphone of device 810) may be more sensitive to speech of the user while being less sensitive to background noise. For example, the bone conduction microphone may produce relatively strong signals when the user is speaking by detecting skull vibrations caused by user speech. However, even in the presence of background noise, the bone conduction microphone may produce relatively weak signals (or no signal) when the user is not speaking because background noise may not cause sufficient vibration of a user’s skull.
[0238] [0238] In some examples, determination module 850 determines whether a user is speaking — based on the first and the second data streams. For example, if the first and second data streams (of portions thereof) both indicate user speech, the data streams likely indicate that the user is speaking during a particular duration. Thus, in accordance with determining that both the first and second data streams indicate user speech, determination module 850 determines that the user is speaking (e.g., for a particular duration). As another example, if the first data stream (or a — portion thereof) indicates user speech and the second data stream (or a portion thereof) indicates no user speech, the data streams likely indicate background speech, not user speech. Thus, in accordance with determining that the first data stream indicates user speech and determining that the second data stream indicates no user speech, determination module 850 determines that the user is not speaking (e.g., for a particular duration).
[0240] [0240] In some examples, determination module 850 determines that a duration of a portion of a data stream indicating user speech is below a threshold duration (e.g., 0.5, 0.4, 0.3, 0.2, 0.1 71
[0241] [0241] In some examples, determination module 850 only determines whether to provide an output associated with a current (e.g., most recent) notification. For example, if determination — module 850 determines that a user is speaking during a time window after the notification is received, after the time window, the notification output is not later provided. For example, determination module 850 does not obtain data stream(s) after the time window to determine again whether to provide the notification output. In some examples, determination module 850 again obtains data stream(s) to determine whether to provide an output associated with a subsequent notification upon receiving an indication of the subsequent notification.
[0242] [0242] In other examples, determination module 850 determines (e.g., determines again) whether to provide an output associated with a previous notification (previous notification output). In some examples, determination module 850 determines whether to provide a previous notification output in accordance with notifications module 830 receiving an indication of a subsequent (e.g., current) notification. In some examples, determination module 850 determines whether to provide a previous notification output if a relevance score of the previous notification is high, as discussed below with respect to notifications model 854. In some examples, the previous notification output is provided along with a current notification output. In this manner, if a previous notification output is initially not provided (e.g., a user is speaking when (or shortly — after) the previous notification was received), the previous notification output may be later provided along with a current notification output.
[0243] [0243] Providing an previous notification output can be desirable for a variety of reasons. For instance, it may be desirable to provide a previous notification output if the previous notification is short (e.g., a short text message) to quickly provide a user with all unread messages. Thus, in some examples, determination module 850 determines whether a length (e.g., number of words, length of audio) of a previous notification is below a threshold length. In some examples, if the length is determined to be below the threshold length, determination module 850 determines whether to provide the previous notification output according to the techniques discussed herein.
[0244] [0244] As another example, providing a previous notification output may be desirable to provide context for a current notification output. For example, if a previous message from a sender says “Let’s get dinner,” and a current message from the same sender says “at an Italian restaurant,” it may be desirable to output both messages. Thus, in some examples, determination module 850 determines whether a previous notification is relevant to a current notification. In some examples, if a previous notification is determined to be relevant to a current notification, determination module 850 determines whether to provide the previous notification output according to the techniques discussed herein.
[0245] [0245] Exemplary factors used to determine whether a previous notification is relevant to a current notification include the senders of the notifications (e.g., whether the notifications are from the same sender), the times of the notifications (e.g., whether the notifications are received within a short time period), the contents of the notifications (e.g., whether the notifications relate to a same subject), whether the previous notification has been output (e.g., already read), and the like. For example, determination module 850 determines that the text message “at an Italian restaurant” is relevant to the previous text message "Let's get dinner” because the messages are from a same sender, the messages are received within a short time period (e.g., 1 minute), and/or the messages relate to the subject of dining. Thus, if the previous notification output (“let’s get dinner”) is initially not provided, the previous notification output can be later provided with a current notification output ("at an Italian restaurant”). For example, after receiving the message “at an Italian restaurant,” a user is determined to be not speaking, and both the notification outputs “let’s get dinner” and “at an Italian restaurant” are sequentially provided.
[0246] [0246] In some examples, in accordance with a determination that a user is not speaking, notifications module 830 causes a notification output to be provided. In some examples, causing a notification output to be provided includes providing the output with a speaker of an electronic device (e.g., device 810 provides the output with a speaker). In some examples, causing a notification output to be provided includes causing an external electronic device to provide the output (e.g., notifications module 830 causes device 810 to provide the output). In some examples, the output includes an audio output, displayed output (e.g., textual output), haptic output, or a combination thereof. In some examples, a notification output includes a content (e.g., textual content, audio content, video content) of the notification. In some examples, a notification output does not include a content of the notification, but rather includes an audio, haptic, and/or visual alert of the notification (e.g., a chime, vibration, and/or displayed icon).
[0247] [0247] In FIG. 8A, the user is determined to be not speaking. Specifically, during a 7 second time window after the text message was received, a 2 second duration of no user speech is determined. During that duration, device 810 provides the audio output "Mom says 'where are you ”
[0248] [0248] In some examples, in accordance with a determination that a user is speaking, notifications module 830 forgoes causing a notification output to be provided (e.g., an output including the content of the notification). In some examples, in accordance with a determining that a user is speaking, notifications module 830 causes a second output associated with the notification to be provided (e.g., at device 810). In some examples, the second output is shorter in duration than the output that would be provided if the user were not speaking. For example, an output provided for a currently speaking user includes a short sound, such as a chime, whistle, or bell noise. In contrast, an output provided for a currently non-speaking user includes the entire content (e.g., textual and/or audio content) of a notification, for instance. In this manner, notification outputs can be appropriately adapted based on whether a user is speaking.
[0249] [0249] FIG. 8C shows an electronic device providing an output associated with a notification when a user of the device is speaking, according to some examples. Specifically, in FIG. 8C, device 800 receives a text message from the user’s mom. Device 800 sends an indication of the received notification to device 810 and, in response, device 810 samples data streams from a — microphone and a vibration sensor for a 7 second time window. It is determined based on the 74
[0250] [0250] In some examples, notifications module 830 causes a notification output to be provided for a maximum duration (e.g., 10, 20, or 30 seconds). In some examples, after the maximum duration has elapsed, notifications module 830 terminates the provision of the notification output. This may prevent device 810 from providing notification outputs for undesirably long durations. For example, if device 800 receives a message including the text of an entire novel, device 810 does not provide audio output of the entire novel.
[0251] [0251] In some examples, while notifications module 830 causes a current notification output to be provided (e.g., while device 810 provides the notification output), notifications module 830 receives an indication of a second (e.g., subsequent) notification. For example, while device 810 outputs "mom says ‘where are you ””, device 800 receives a subsequent notification, a text message from Carly asking "what's for dinner ”. In some examples, in accordance with receiving an indication of a subsequent notification, notifications module 830 causes an output associated with the subsequent notification (subsequent notification output) to be provided after providing the current notification output. For example, device 810 provides the spoken output of “Carly says ‘what’s for dinner ’” after providing the spoken output of “mom says ‘where are you ”
[0252] [0252] In some examples, causing a subsequent notification output to be provided is performed without determining whether the user is speaking. In other examples, causing a subsequent notification output to be provided is performed in accordance with determining that the user is not speaking. In some examples, only a predetermined number (e.g., 2, 3, 4, or 5) of subsequent notification outputs are provided and/or subsequent notification outputs are only provided for a predetermined duration (e.g., 10, 20, or 30 seconds). This may prevent device 810 from providing notification outputs for an undesirably long duration (e.g., if the user of device 810 is a member of a particularly active group chat).
[0253] [0253] In some examples, notifications module 830 determines whether a user has already — been alerted of a notification. In some examples, in accordance with determining that a user has 75
[0254] [0254] In some examples, determining whether a user has already been alerted of a notification includes determining that an external electronic device has provided an output associated with the notification. For example, notifications module 830 determines that a computer (external to devices 800 and 810) has already provided the text message “where are you ’ (e.g., via a display). In some examples, in accordance with determining that an external electronic device has provided an output associated with the notification, notifications module 830 forgoes causing further outputs associated with the notification to be provided. For example, notifications module 830 does not cause device 810 to output “mom says ‘where are you ””.
[0255] [0255] In some examples, determining whether a user has already been alerted of a notification includes determining that the user has interacted with the notification at an electronic device. In some examples, determining that a user has interacted with the notification includes determining that the user has selected the notification (e.g., selected a message), listened to the notification (e.g., listened to a voice mail), deleted the notification, replied to the notification, viewed the notification (e.g., was looking at and/or touching device 800 when the notification — was received), and the like. For example, notifications module 830 determines that the user has already selected the text message “where are you ” on device 800. In some examples, in accordance with determining that the user has interacted with a notification, notifications module 830 forgoes causing an output associated with the notification to be provided.
[0256] [0256] Returning to FIG. 8B, system 820 further includes termination module 860.
[0257] [0257] In some examples, while device 810 provides a notification output, termination module 860 (e.g., implemented on device 810) detects a speech input. In some examples, detecting a speech input includes determining that a user is speaking according to the techniques 76
[0258] [0258] In some examples, while device 810 provides a notification output, termination module 860 detects a signal indicating device removal. For example, accelerometer(s) of device 810 detect a signal indicating removal of device 810 from a user’s ear and sends the signal to termination module 860. In some examples, in response to detecting such signal, termination module 860 causes device 810 to cease providing notification output. In this manner, a user may quickly stop unwanted notification outputs by removing device 810 from the user’s ear (or — another position occupied by device 810).
[0259] [0259] In some examples, while device 810 provides an output associated with a notification, termination module 860 detects a predetermined gesture performed at the device. Exemplary predetermined gestures include a tap gesture, a double-tap gesture, a single finger swipe gesture, a double finger swipe gesture, and the like. In some examples, termination module 860 detects — such gestures using pressure sensor(s), touch sensor(s), and/or accelerometer(s) included in device 810. In some examples, in response to detecting a predetermined gesture, termination module 860 causes device 810 to cease providing notification output. In this manner, a user may quickly stop unwanted notification outputs by performing a gesture (e.g., a double tap) at device
[0261] [0261] In some examples, determination module 850 includes notifications model 854. In some examples, notifications model 854 is configured to determine an importance of a notification and/or a timeliness of a notification according to the techniques discussed below. In some examples, notifications model 854 includes one or more neural networks (e.g., recurrent 77
[0262] [0262] In some examples, notifications model 854 determines an importance score of a notification that represents the notification’s importance. In some examples, notifications model S 854 determines an importance score of a notification based on context information associated with the notification (notification context). Exemplary notification context includes the sender of the notification, whether the user has previously received notifications from the sender, previous user responses to notifications from the sender, the time of the notification, the content of the notification, the relevance of the notification to a previous notification, the length of the notification, the type of the notification (e.g., text message, email, application notification), the relevance of the notification to a user’s current context, user notification settings, and the like. In some examples, notifications model 854 determines such context information and uses such context information (or a combination of such context information) to determine and/or adjust an importance score of a notification.
[0263] [0263] For example, if notifications model 854 determines that the sender of a notification is a user favorite contact (e.g., the user's mom), an importance score of the notification is increased (e.g., above a threshold). As another example, if notifications model 854 determines that the sender of a notification is not a user favorite contact (e.g., an unknown source, a user blocked spam email provider, etc.), an importance score of the notification is decreased (e.g., below a threshold). As another example, notifications model 854 performs content and/or sentiment analysis on the content of a notification to determine an importance score of the notification. For example, if sentiment and/or content analysis indicates that a notification is urgent (e.g., includes terms like “now,” “important,” “urgent,” etc.), an importance score of the notification is increased. As another example, if notifications model 854 determines that a notification is relevant to a previous notification (e.g., the notifications relate to a same subject and/or are from a same sender), an importance score of the notification is increased. As another example, if notifications model 854 determines that a length of a notification is short (e.g., below a threshold number of words, less than a threshold time), an importance score of the notification is increased. As another example, if notifications model 854 determines that a type of the notification is a predetermined type (e.g., text message), an importance score of the notification is increased. As another example, if notifications model 854 determines that that a type of the notification is not a 78
[0264] [0264] As another example, notifications model 854 performs content analysis on a notification to determine whether the notification is relevant to a user’s current context (e.g., current location, current activity being performed, and the like). For example, if a user's current context indicates that he or she is waiting for a flight (e.g., as determined by user location and/or calendar data) and a notification is determined to be relevant to the flight (e.g., includes a flight gate change information) an importance score of the notification is increased. As another example, if a user’s current context indicates that he or she is in a workout session (e.g., as — determined based on a workout application being initiated), and the notification is determined to be relevant to the workout (e.g., includes information relating to calories burned), an importance score of the notification is increased. As another example, if a user notification setting indicates a preference for a certain type of notification (e.g., text messages), importance scores of those types of notifications are increased.
[0265] [0265] In some examples, notifications model 854 determines whether an importance score for a notification exceeds (or does not exceed) one or more thresholds. For example, an importance score below a lower threshold (low importance score) indicates that the corresponding notification is not important and an importance score above an upper threshold (high importance score) indicates that the corresponding notification is important. In some — examples, notifications model 854 causes notifications module 830 to provide an output associated with a notification in accordance with determining that an importance score of the notification exceeds a threshold. For example, in FIG. 8A, the text message from the user's mom asking "where are you ” is determined to have a high importance score because (1) the user's mom is a user favorite contact and/or (2) the user has previously received notifications — from his mom.
[0266] [0266] In some examples, notifications model 854 determines a timeliness score of a notification that represents the notification 's timeliness. In some examples, notifications model 854 determines a timeliness score of a notification based on context information associated with the a user (user context). Exemplary user context includes a location of a user, a user notification setting, a device setting (e.g. low power mode, do not disturb mode), a rate of travel 79
[0267] [0267] For example, if notifications model 854 determines that device 800 is in a do not disturb mode, a timeliness score of a notification is decreased (e.g., below a threshold). As another example, if notifications model 854 determines that a user is currently engaged in a first set of predetermined activities (e.g., in a meeting as determined from calendar data, in a workout session as determined from a workout application being initiated), a timeliness score of a notification is decreased. As another example, if notifications model 854 determines that a user — is currently is currently engaged in a second set of predetermined activities (e.g., listening to music) a timeliness score of a notification is increased (e.g., above a threshold). As another example, if it is determined that a user recently (e.g., a predetermined duration ago) terminated a previous notification output, a timeliness score of a notification is decreased. As another example, if it is determined that a user is speaking (as discussed above), a timeliness score of a notification is decreased. As another example, if it is determined that the user is not speaking, a timeliness score of a notification is increased.
[0268] [0268] As another example, notifications model 854 collects and analyzes information from one or more sensors of sensor module 840 and determines whether the information indicates that the user is in a conversation. For example, notifications model 854 determines the times during which a user is or is not speaking according to the above discussed techniques and determines whether the times are consistent with user conversation (e.g., a time duration having alternating periods of user speech and no user speech). As another example, notifications model 854 determines whether a direction of sound is directed towards a user, whether the sound includes human speech, and/or a proximity of a source of the sound. In some examples, notifications — model 854 collects and analyzes the information before, during, or after a notification is received (e.g., for a predetermined duration) or regardless of whether a notification is received (e.g., 80
[0269] [0269] In some examples, notifications model 854 determines whether a timeliness score of a notification exceeds (or does not exceed) one or more thresholds. For example, a timeliness score below a lower threshold (low timeliness score) indicates that the corresponding notification is not timely and a timeliness score above an upper threshold (high timeliness score) indicates that the corresponding notification is timely. In some examples, notifications model 854 causes notifications module 830 to provide an output associated with a notification in accordance with determining that a timeliness score of the notification exceeds a threshold.
[0270] [0270] In some examples, notifications model 854 determines a relevance score of a notification based on a timeliness score of the notification and/or an importance score of the notification. Thus, in some examples, notifications model 854 combines determined importance — and timeliness scores of a notification to determine an aggregate relevance score indicating whether a notification should be provided (e.g., indicating a notification’s current relevance). For example, a relevance score above a threshold (high relevance score) indicates that a corresponding notification output should be provided, while a relevance score below a threshold (low relevance score) indicates that a corresponding notification output should not be provided. Thus, in some examples, notifications model 854 causes notifications module 830 to provide an output associated with a notification in accordance with determining that a relevance score of the notification exceeds a threshold. Determining a relevance score based on both importance and timeliness scores may improve determination of when to provide notification outputs. For example, an undesirable notification from a spam provider may be determined as timely (e.g., the user is not in a meeting) but not important. Thus, a relevance score of the undesirable notification is determined to be low, so an output of the spam message is not provided.
[0271] [0271] In some examples, notifications model 854 includes training module 856. Training module 856 is configured to train notifications model 854 to determine whether a notification is important, timely, and/or relevant (e.g., to determine importance, timeliness, and/or relevance — scores). In some examples, training module 856 trains notification model 854 using data 81
[0272] [0272] In some examples, training module 856 trains notification model 854 using data obtained for a particular user (e.g., the user of device’s 800 and 810). In some examples, such data indicates appropriate (and/or inappropriate) user contexts to provide notification outputs for a particular user. Accordingly, training notification model 854 using such data allows personalized determination of whether to provide a notification output. For example, if such data indicates that the user of device 800 does not want to notification outputs while listening to music, notification model 854 is trained to determine a low timeliness score of a notification when it is determined that the user is listening to music.
[0273] [0273] In some examples, training module 856 collects user engagement and data trains notification model 854 using the data. User engagement data includes data relating to user interaction with a notification (and/or notification output) at devices 800 and/or 810. For example, user engagement data indicates whether a user has interacted with a notification (e.g., replied to a notification, deleted a notification, dismissed a notification) and/or whether a user has terminated a notification output. Training notifications model 854 using user engagement data may improve determination of whether to provide a notification output for a particular user.
[0275] [0275] As another example, suppose notifications model 854 determines based on context information that a notification output should be provided (e.g., determines a high relevance score for the notification). Device 810 thus provides the notification output. However, user engagement data collected by training module 856 indicates that while device 810 provided the notification output, the user terminated the notification output. This may indicate that notifications model 854 should have not determined to provide the notification output based on — the context information (e.g., should have determined a low relevance score). Thus, based on such user engagement data, notifications model 854 is trained to determine low relevance scores of subsequent notifications associated with contexts matching (or similar to) the context. In this manner, device 810 may not provide notification outputs for undesirable subsequent notifications.
[0276] [0276] In some examples, a score of a notification (e.g., importance score, timeliness score, relevance score) affects whether it is determined that a user is speaking. For example, when notifications module 830 receives an indication of a notification, notifications model 854 determines a score of the notification. In some examples, in accordance with determining that a score of a notification is below a threshold, it is not determined whether a user is speaking. For example, sensor module 840 does not obtain data stream(s) and determination module 850 does not determine whether the data stream(s) indicate user speech. In some examples, in accordance with determining that a score of a notification is above a threshold, it is determined whether a user is speaking, as discussed above. In this manner, in some examples, only highly relevant notifications cause devices 800 and/or 810 to obtain data streams to determine whether a user is speaking (and thus whether to provide a notification output).
[0277] [0277] In some examples, a score of a notification affects how it is determined whether a user is speaking. For example, a time window for which a data stream is obtained is based on a determined relevance score of a notification. For example, sensor module 840 adjusts the time window based on a determined relevance score for a notification. For example, sensor module — 840 extends the time window if a relevance score of a notification is high (e.g., compared to if 83
[0278] [0278] In some examples, a score of a notification affects how a notification output is provided. For example, a notification output can be provided with different volumes, different speeds, different tones, different colors, different fonts, different sizes, different versions (e.g., a shorter version including only the source of the notification and/or only the first sentence of the notification), and the like. For example, if a score of a notification is determined to be high, notifications module 830 causes the notification output to be provided with a higher volume and/or causes the entire content of the notification to be provided. As another example, if a score of a notification is determined to be low, notifications module 830 causes the notification output to be provided with a lower volume and/or causes a shorter version of the notification output to be provided (e.g., provides only the name of the sender).
[0280] [0280] FIG. 9A shows a flow diagram of a process for responding to spoken notifications, according to some examples. In FIG. 9A, devices 810, 800, and digital assistant (DA) server 900 interact to respond to spoken notifications. In some examples, DA server 900 is implemented using digital assistant server 106 discussed above with respect to FIG. 1. In some examples, devices 810 and 800 are client devices and communicate with DA server 900 and/or each other though one or more networks, e.g., as shown in FIG. 1.
[0281] [0281] Although some processes below are described as being performed by particular devices (e.g., devices 800, 810, 900), such processes can be performed at other devices and can be performed at more than one device (e.g., at devices 800 and 900). Further, the processes below may be performed by any system or device, or component thereof, described herein, including but not limited to device 800, device 810, DA server 900, and/or system 820.
[0282] [0282] In some examples, an output associated with a received notification (notification output) is caused to be provided (e.g., by notifications module 830). For example, as shown in FIG. 9A, device 810 provides a notification output (e.g., with a device speaker). In some examples, device 800 causes device 810 to provide a notification output.
[0283] [0283] FIG. 9B shows device 810 providing a notification output, according to some examples. Specifically, in FIG. 9B, device 800 (e.g., a user's phone) receives a text message from the user's mom asking “where are you ” Device 800 causes device 810 to provide the audio output “Mom says ‘where are you ” according to the above discussed techniques.
[0284] [0284] Returning to FIG. 9A, in some examples, after a notification output is provided, one or more data streams from one or more sensors are obtained (e.g., by sensor module 840). For example, as shown in FIG. 9A, device 810 obtains data stream(s) from sensor(s) included in device 810. In some examples, as shown in FIG. 9A, device 810 sends (e.g., streams) the data stream(s) to device 800 and device 800 obtains the data stream(s).
[0285] [0285] In some examples, at least a portion of the data stream(s) include data representing a received speech input requesting performance of a task associated with a notification. 85
[0286] [0286] FIG. 9C shows a user responding to a notification output, according to some examples. Specifically, in FIG. 9C, the user provides the speech input “reply I'm at home” after device 810 provides the audio output “Mom says ‘where are you ” Device 810 obtains data stream(s) including data representing the speech input.
[0287] [0287] In some examples, a speech input does not include a trigger phrase for initiating a digital assistant (e.g., “Wake up,” “Hey Siri,” "Hey Assistant,” and the like). In this manner, a user may efficiently respond to a notification output without needing to initiate a digital assistant with a trigger phrase.
[0288] [0288] In some examples, obtaining data streams includes concurrently obtaining the data streams for a predetermined duration. The predetermined duration can thus represent a time window during which device 810 listens for speech input responding to a notification output. For example, if no user speech is detected during the time window, device 810 ceases listening for speech input (e.g., ceases obtaining data stream(s)).
[0289] [0289] In some examples, sensor module 840 adjusts the time window based on a notification. For example, if a score (e.g., relevance score) of the notification is determined to be — high (e.g., by notifications model 854), sensor module 840 extends the time window (e.g., compared to if the score was not high). This may advantageously extend the time window during which users may respond to relevant notifications (e.g., because users may wish to respond to relevant notifications). As another example, if notifications model 854 determines that a length of a notification is above a threshold (e.g., the notification includes greater than a threshold number of words), sensor module 840 extends the time window. This may extend the time window during which users may respond to long notifications (e.g., because users may take longer to respond to long notifications).
[0290] [0290] In some examples, it is determined, based on obtained data stream(s), whether a user associated with an electronic device (e.g., devices 800 and 810) is speaking (e.g., by determination module 850). Determining whether a user is speaking is performed according to 86
[0291] [0291] In some examples, in accordance with a determination that a user is speaking, at — least a portion of obtained data stream(s) are provided to an external electronic device. In some examples, the external electronic device is external to the device that determined that the user is speaking. In some examples, the portion includes a data stream obtained from a speech sensor (e.g., microphone). In some examples, the portion includes data representing a received speech input requesting performance of a task associated with a notification (e.g., “reply Im home”).
[0292] [0292] In some examples, the external electronic device is DA server 900. For example, as — shown in FIG. 9A, device 800 provides data representing a received speech input (e.g., received from device 810) to DA server 900 (e.g., via one or more networks, as shown in FIG. 1). DA server 900 thus receives the data from device 800. In some examples, the external electronic device is device 800. For example, device 810 provides data representing a received speech input to device 800 and device 800 receives the data. In some examples, device 800 further sends the data to a second external electronic device (e.g., DA server 900).
[0293] [0293] Providing data representing a received speech input to an external electronic device allows the speech input to be processed to initiate a task associated with a notification. For example, as discussed below, device 800 and/or DA server 900 processes the speech input “reply I’m at home” to initiate the task of replying to the user's mom. Further, providing such data in accordance with a determination that a user is speaking may prevent audio data (e.g., background 87
[0294] [0294] In some examples, in accordance with a determination that a user is not speaking, providing data stream(s) to an external electronic device is forgone. In some examples, determining that a user is not speaking includes determining that data stream(s) indicate no user speech for a predetermined duration (e.g., the time window during which device 810 listens for — speech input responding to a notification output), according to the above discussed techniques. In some examples, in accordance with a determination that a user is not speaking, data stream(s) are discarded (e.g., by device 800 and/or 810). Operating devices 800 and/or 810 in this manner may improve user privacy. Specifically, as discussed, audio data obtained at user devices 800 and/or 810 may only be sent to other devices when the data indicate user speech. The audio data may be discarded if the data do not indicate user speech.
[0295] [0295] In some examples, it is determined whether a speech input is associated with an intent to perform an action associated with a notification. In some examples, such determination includes determining an intent based on the speech input and determining whether the intent is an intent to perform an action associated with a notification. In some examples, the intent(s) to — perform an action associated with a notification are predetermined based on a type and/or content of the notification. For example, a message notification (e.g., text message, instant message, email) has corresponding intents of replying to the notification, forwarding the notification, deleting the notification, flagging the notification as important, calling a sender of the notification, repeating the notification, marking the notification as read/unread, retrieving information about the notification (e.g., the sender, time), and the like. However, the intents of retrieving weather information and performing a web search, for instance, are not intents corresponding to a message notification. As another example, a weather notification (e.g., provided by a weather application) has a corresponding intent of retrieving further weather information (e.g., associated with the speech input “what’s the weather like there Thursday ””).
[0296] [0296] In some examples, as shown in FIG. 9A, DA server 900 determines whether a speech input is associated with an intent to perform an action associated with a notification (e.g., using natural language processing module 732). In other examples, device 800 and/or 810 determines whether a speech input is associated with an intent to perform an action associated with a notification (e.g., using natural language processing module 732 implemented on device 800 and/or 810).
[0297] [0297] In some examples, in accordance with determining that a speech input is associated with an intent to perform an action associated with a notification, a task is initiated. In some examples, initiating a task includes performing the task (e.g., replying “I’m home” to the user's mom). In some examples, the task is initiated based on a determined intent (e.g., determined based on the speech input). For example, a task of replying to the text message asking “where are you ” is initiated based on the determined intent of replying to a notification. In some examples, as shown in FIG. 9A, DA server 900 initiates the task (e.g., using task flow processing module 736). In other examples, device 800 and/or 810 initiates the task (e.g., using task flow processing module 736 implemented on device 800 and/or 810).
[0298] [0298] Initiating a task in this manner can allow only tasks relevant to provided notification outputs to be initiated. For example, suppose the user in FIG. 9C asks “what’s the weather like ” to a friend after device 810 provides the notification output “mom says ‘where are you ” The speech input “what’s the weather like ” is intended for the user’s friend, not a digital assistant. Although the speech input may still be processed to determine an intent, the determined intent (e.g., getting weather information) is not an intent to perform an action associated with the notification output. Thus, no task based on the intent is initiated, and no results based on the task — are provided to the user. For example, device 810 does not undesirably output “it’s 45 degrees and raining” responsive to the user asking “what’s the weather like ” to a friend.
[0299] [0299] In some examples, an indication that a task has been initiated is received. In some examples, device 800 receives an indication that a task has been initiated from DA server 900. For example, DA server 900 generates an indication that a task has been initiated (e.g., instructions to perform a task, such as replying to a text message). In some examples, as shown 89
[0300] [0300] In some examples, device 810 receives an indication that a task has been initiated from device 800. For example, DA server 900 generates a result based on an initiation of the task. In some examples, DA server 900 sends the result to device 800. For example, DA server 900 generates instructions to reply to a text message and sends the result to device 800. In some examples, device 800 uses the result to generate an indication that a task has been initiated. For — example, device 800 executes the instructions to reply to the text message and generates an indication that device 800 has replied to the text message (e.g., the response “ok I replied I'm at home”). In some examples, device 800 sends an indication that the task has been initiated to device 810.
[0301] [0301] In some examples, an output based on a received indication that a task has been initiated is caused to be provided. In some examples, an output based on a received indication includes an audio output, textual output, and/or haptic output indicating that a task has been initiated. For example, when device 800 receives the indication from DA server 900, device 800 causes device 810 to provide an output based on the received indication, as shown in FIG. 9A. For example, device 800 causes device 810 to provide a response generated based on performing atask.
[0302] [0302] FIG. 9D shows device 810 providing an audio output indicating that a task has been initiated, according to some examples. Specifically, consistent with the above-described techniques, device 810 provides the audio output “ok I replied ‘I’m at home”” after the user says "reply I'm at home” in FIG. 9C.
[0304] [0304] FIGS. 10A-10E illustrate process 1000 for providing notifications, according to various examples. Process 1000 is performed, for example, using one or more electronic devices implementing a digital assistant. In some examples, process 1000 is performed using a client- server system (e.g., system 100), and the blocks of process 1000 are divided up in any manner between the server (e.g., DA server 106) and a client device. In other examples, the blocks of process 1000 are divided up between the server and multiple client devices (e.g., a mobile phone and a smart watch). Thus, while portions of process 1000 are described herein as being performed by particular devices of a client-server system, it will be appreciated that process 1000 is not so limited. In other examples, process 1000 is performed using only a client device (e.g., user device 104) or only multiple client devices. In process 1000, some blocks are, optionally, combined, the order of some blocks is, optionally, changed, and some blocks are, optionally, omitted. In some examples, additional steps may be performed in combination with the process
[0305] [0305] At block 1002, an indication of a notification is received (e.g., by notifications — module 830). In some examples, receiving the indication of the notification includes receiving the indication from an external electronic device, the notification being received at the external electronic device, as shown in block 1004. In some examples, receiving the indication of the notification includes receiving the notification at an electronic device, as shown in block 1006.
[0306] [0306] At block 1008, in accordance with receiving the indication of the notification: one or — more data streams from one or more sensors are obtained (e.g., by sensor module 840). In some examples, obtaining the one or more data streams includes concurrently obtaining the one or more data streams for a predetermined duration, as shown in block 1010. In some examples, the predetermined duration is based on a determined relevance score of the notification. In some examples, the electronic device includes the one or more sensors. In some examples, the electronic device comprises a headset. In some examples, obtaining the one or more data streams includes obtaining the one or more data streams from an external electronic device including the one or more sensors, as shown in block 1012. In some examples, the one or more sensors include a microphone and a vibration sensor. In some examples, the one or more data streams include a first data stream obtained from the microphone and a second data stream obtained from the vibration sensor.
[0307] [0307] At block 1014, it is determined, based on the one or more data streams, whether a user associated with the electronic device is speaking (e.g., by determination module 850). In some examples, determining that the user is not speaking includes determining, based on the one or more data streams, that the user is not speaking for a second predetermined duration, as shown inblock 1016. In some examples, determining whether the user associated with the electronic device is speaking includes determining that the first data stream indicates that the user is speaking, as shown in block 1018. In some examples, determining whether the user associated with the electronic device is speaking includes determining that the second data stream indicates that the user is speaking, as shown in block 1020. In some examples, determining whether the — user associated with the electronic device is speaking includes in accordance with determining that the first data stream indicates that the user is speaking and in accordance with determining that the second data stream indicates that the user is speaking, determining that the user is speaking, as shown in block 1022.
[0308] [0308] In some examples, determining whether the user associated with the electronic device is speaking includes determining that the first data stream indicates that the user is speaking, as shown in block 1024. In some examples, determining whether the user associated with the electronic device is speaking includes determining that the second data stream indicates that the user is not speaking, as shown in block 1026. In some examples, determining whether the user associated with the electronic device is speaking includes in accordance with determining that the first data stream indicates that the user is speaking and determining that the second data stream indicates that the user is not speaking, determining that the user is not speaking, as shown in block 1028. In some examples, determining that the first data stream indicates that the user is speaking includes determining that a first portion of the first data stream indicates that the user is speaking. In some examples, determining that the second data stream indicates that the user is not speaking includes determining that a second portion of the second data stream indicates that the user is not speaking. In some examples, the first portion and the second portion have a same duration. In some examples, the first portion and the second portion are obtained at a same time.
[0309] [0309] In some examples, determining whether the user associated with the electronic device is speaking includes determining that the one or more data streams include a third portion indicating that the user is speaking, as shown in block 1030. In some examples, determining whether the user associated with the electronic device is speaking includes determining that a 92
[0310] [0310] At block 1036, in accordance with a determination that the user is not speaking: an output associated with the notification is caused to be provided (e.g., by notifications module 830). In some examples, the output associated with the notification includes a content of the notification. In some examples, causing the output associated with the notification to be provided includes providing the output with a speaker of the electronic device, as shown in block
[0311] [0311] In some examples, in accordance with a determination that the user is speaking: causing the output associated with the notification to be provided is forgone (e.g., by notifications module 830), as shown in block 1042. In some examples, in accordance with a determination that the user is speaking: a second output associated with the notification is caused to be provided (e.g., by notifications module 830), the second output being shorter in duration than the first output, as shown in block 1044.
[0312] [0312] In some examples, while providing the output, a speech input is detected (e.g., by termination module 860), as shown in block 1046. In some examples, in response to detecting the speech input, the output is terminated (e.g., by termination module 860), as shown in block
[0313] [0313] In some examples, while providing the output, a signal indicative of device removal is detected (e.g., by termination module 860), as shown in block 1050. In some examples, in response to detecting the signal indicative of device removal, the output is terminated (e.g., by termination module 860), as shown in block 1052.
[0314] [0314] In some examples, while providing the output, a predetermined gesture performed at the electronic device is detected (e.g., by termination module 860), as shown in block 1054. In some examples, in response to detecting the predetermined gesture performed at the electronic device, the output is terminated (e.g., by termination module 860), as shown in block 1056. 93
[0315] [0315] In some examples, while causing the output associated with the notification to be provided, an indication of a second notification is received (e.g., by notifications module 830), as shown in block 1058. In some examples, in accordance with receiving the indication of the second notification: an output associated with the second notification is caused to be provided (e.g. by notifications module 830) after the output associated with the notification is provided, as shown in block 1060.
[0316] [0316] In some examples, it is determined whether a second external electronic device has provided a second output associated with the notification (e.g., by determination module 850), as shown in block 1062. In some examples, in accordance with determining that the second external electronic device has provided the second output associated with the notification: causing the output associated with the notification to be provided is forgone, as shown in block
[0317] [0317] In some examples, an importance score of the notification based on context information associated with the notification is determined (e.g., by notifications model 854), as shown in block 1066. In some examples, it is determined whether the importance score exceeds a first threshold (e.g., by notifications model 854), as shown in block 1068. In some examples, causing the output associated with the notification to be provided is performed in accordance with determining that the importance score exceeds the first threshold.
[0318] [0318] In some examples, a timeliness score of the notification based on context information associated with the user is determined (e.g., by notifications model 854), as shown in block 1070. In some examples, it is determined whether the timeliness score exceeds a second threshold (e.g., by notifications model 854), as shown in block 1072. In some examples, causing the output — associated with the notification to be provided is performed in accordance with determining that the timeliness score exceeds the second threshold.
[0319] [0319] The operations described above with reference to FIGS. 10A-E are optionally implemented by components depicted in FIGS. 1-4, 6A-6B, 7A-7C, 8A-8C, and 9A-9D. For example, the operations of process 1000 may be implemented by system 820, device 800, device — 810, and/or DA server 900, or any component thereof. It would be clear to a person having 94
[0320] [0320] FIGS. 11A-11D illustrate process 1100 for responding to notifications, according to various examples. Process 1100 is performed, for example, using one or more electronic devices implementing a digital assistant. In some examples, process 1100 is performed using a client- server system (e.g., system 100), and the blocks of process 1100 are divided up in any manner between the server (e.g., DA server 106) and a client device. In other examples, the blocks of process 1100 are divided up between the server and multiple client devices (e.g., a mobile phone and a smart watch). Thus, while portions of process 1100 are described herein as being performed by particular devices of a client-server system, it will be appreciated that process 1100 is not so limited. In other examples, process 1100 is performed using only a client device (e.g., user device 104) or only multiple client devices. In process 1100, some blocks are, optionally, combined, the order of some blocks is, optionally, changed, and some blocks are, optionally, omitted. In some examples, additional steps may be performed in combination with the process
[0321] [0321] At block 1102, a first output associated with a received notification is caused to be provided (e.g., by notifications module 830). In some examples, causing the first output to be provided includes providing the first output with a speaker of the electronic device (e.g., device 810), as shown in block 1104. In some examples, the electronic device comprises a headset. In some examples, causing the first output to be provided includes causing a second external electronic device (e.g., 810) to provide the first output, as shown in block 1106.
[0322] [0322] At block 1108, after the first output is provided: one or more data streams from one or more sensors are obtained (e.g., by sensor module 840). In some examples, the one or more sensors include a microphone and a vibration sensor. In some examples, the one or more data streams include a first data stream obtained from the microphone and a second data stream obtained from the vibration sensor. In some examples, the electronic device (e.g., 810) includes the one or more sensors. In some examples, the second external electronic device (e.g., 810) includes the one or more sensors.
[0323] [0323] In some examples, obtaining the one or more data streams includes concurrently obtaining the one or more data streams for a predetermined duration, as shown in block 1110. In some examples, obtaining the one or more data streams includes obtaining the one or more data streams from the second external electronic device (e.g., device 810), as shown in block 1112.
[0324] [0324] At block 1114, it is determined based on the one or more data streams, whether a user associated with the electronic device is speaking (e.g., by determination module 850). In some examples, determining whether the user is speaking includes determining whether the second data stream indicates that the user is speaking for a second predetermined duration, as shown in block 1116. In some examples, determining whether the user is speaking includes determining that the second data stream includes a portion indicating that the user is speaking, as shown in block 1118. In some examples, determining whether the user is speaking includes determining whether a duration of the portion indicating that the user is speaking is below a threshold duration, as shown in block 1120. In some examples, determining whether the user is speaking includes in accordance with determining that the duration is below the threshold duration, determining that the user is not speaking, as shown in block 1122.
[0325] [0325] In some examples, determining whether the user is speaking includes determining that the first data stream indicates that the user is speaking, as shown in block 1124. In some examples, determining whether the user is speaking includes determining that the second data stream indicates that the user is not speaking, as shown in block 1126. In some examples, determining whether the user is speaking includes in accordance with determining that the first data stream indicates that the user is speaking and determining that the second data stream indicates that the user is not speaking, determining that the user is not speaking, as shown in block 1128.
[0326] [0326] At block 1130, in accordance with a determination that the user is speaking: at least a — portion of the one or more data streams to is provided to an external electronic device (e.g., 800, 900), the portion including data representing a received speech input requesting performance of a task associated with the notification. In some examples, the speech input does not include a trigger phrase for initiating a digital assistant.
[0327] [0327] In some examples, at the external electronic device (e.g., 800): the data representing the received speech input requesting performance of the task associated with the notification is 96
[0328] [0328] In some examples, at the external electronic device (e.g., 900): the data representing the received speech input requesting performance of the task associated with the notification is received from the electronic device (e.g., 800), as shown in block 1040. In some examples, at the external electronic device: it is determined whether the speech input is associated with an intent to perform an action associated with the notification, as shown in block 1042. In some examples, at the external electronic device: in accordance with determining that the speech input is associated with an intent to perform an action associated with the notification: the task is initiated, as shown in block 1144. In some examples, at the external electronic device: in accordance with determining that the speech input is associated with an intent to perform an action associated with the notification, the indication that the task has been initiated is sent to the electronic device (e.g., 800), as shown in block 1146.
[0330] [0330] At block 1152, an indication that the task has been initiated is received from the external electronic device (e.g., 800 or 900).
[0331] [0331] At block 1154, a second output based on the received indication is caused to be provided (e.g., by notifications module 830). In some examples, causing the second output to be provided includes providing the second output with the speaker of the electronic device (e.g., 810), as shown in block 1156. In some examples, causing the second output to be provided 97
[0332] [0332] The operations described above with reference to FIGS. 11A-D are optionally implemented by components depicted in FIGS. 1-4, 6A-6B, 7A-7C, 8A-8C, and 9A-9D. For example, the operations of process 1100 may be implemented by system 820, device 800, device 810, and/or DA server 900, or any component thereof. It would be clear to a person having ordinary skill in the art how other processes are implemented based on the components depicted in FIGS. 1-4, 6A-B, 7A-C, 8A-C, and 9A-D.
[0333] [0333] FIG. 12 illustrates process 1200 for providing notifications, according to various examples. Process 1200 is performed, for example, using one or more electronic devices implementing a digital assistant. In some examples, process 1200 is performed using a client- server system (e.g., system 100), and the blocks of process 1200 are divided up in any manner between the server (e.g., DA server 106) and a client device. In other examples, the blocks of process 1200 are divided up between the server and multiple client devices (e.g., a mobile phone and a smart watch). Thus, while portions of process 1200 are described herein as being performed by particular devices of a client-server system, it will be appreciated that process 1200 is not so limited. In other examples, process 1200 is performed using only a client device (e.g., user device 104) or only multiple client devices. In process 1200, some blocks are, optionally, combined, the order of some blocks is, optionally, changed, and some blocks are, optionally, omitted. In some examples, additional steps may be performed in combination with the process
[0334] [0334] At block 1202, an indication of a notification is received (e.g., by notifications module 830).
[0336] [0336] At block 1206, in accordance with a determination that the output would not interrupt the user, the output is caused to be provided (e.g., by notifications module 830).
[0337] [0337] At block 1208, in accordance with a determination that the output would interrupt the user, causing the output to be provided is forgone (e.g., by notifications module 830).
[0338] [0338] The operations described above with reference to FIG. 12 are optionally implemented by components depicted in FIGS. 1-4, 6A-6B, 7A-7C, 8A-8C, and 9A-9D. For example, the operations of process 1200 may be implemented by system 820, device 800, device 810, and/or DA server 900, or any component thereof. It would be clear to a person having ordinary skill in the art how other processes are implemented based on the components depicted in FIGS. 1-4, 6A-6B, 7A-7C, 8A-8C, and 9A-9D.
[0339] [0339] In accordance with some implementations, a computer-readable storage medium (e.g., a non-transitory computer readable storage medium) is provided, the computer-readable storage medium storing one or more programs for execution by one or more processors of an electronic device, the one or more programs including instructions for performing any of the methods or processes described herein.
[0340] [0340] In accordance with some implementations, an electronic device (e.g., a portable electronic device) is provided that comprises means for performing any of the methods or — processes described herein.
[0341] [0341] In accordance with some implementations, an electronic device (e.g., a portable electronic device) is provided that comprises a processing unit configured to perform any of the methods or processes described herein.
[0342] [0342] In accordance with some implementations, an electronic device (e.g., a portable electronic device) is provided that comprises one or more processors and memory storing one or more programs for execution by the one or more processors, the one or more programs including instructions for performing any of the methods or processes described herein.
[0343] [0343] The foregoing description, for purpose of explanation, has been described with reference to specific embodiments. However, the illustrative discussions above are not intended 99
[0344] [0344] Although the disclosure and examples have been fully described with reference to the accompanying drawings, it is to be noted that various changes and modifications will become apparent to those skilled in the art. Such changes and modifications are to be understood as being included within the scope of the disclosure and examples as defined by the claims.
[0345] [0345] As described above, one aspect of the present technology is the gathering and use of data available from various sources to improve the relevance of notification outputs provided for a user. The present disclosure contemplates that in some instances, this gathered data may include personal information data that uniquely identifies or can be used to contact or locate a specific person. Such personal information data can include demographic data, location-based data, telephone numbers, email addresses, twitter IDs, home addresses, data or records relating to a user's health or level of fitness (e.g., vital signs measurements, medication information, exercise information), date of birth, or any other identifying or personal information.
[0346] [0346] The present disclosure recognizes that the use of such personal information data, in the present technology, can be used to the benefit of users. For example, the personal information data can be used to provide notification outputs relevant for a particular user. Further, other uses for personal information data that benefit the user are also contemplated by the present disclosure. For instance, health and fitness data may be used to provide insights into a user's general wellness, or may be used as positive feedback to individuals using technology to pursue wellness goals.
[0348] [0348] Despite the foregoing, the present disclosure also contemplates embodiments in which users selectively block the use of, or access to, personal information data. That is, the present disclosure contemplates that hardware and/or software elements can be provided to prevent or block access to such personal information data. For example, in the case of collecting — context information associated with users (e.g., to improve the determination of whether notifications are relevant), the present technology can be configured to allow users to select to “opt in” or “opt out” of participation in the collection of personal information data during registration for services or anytime thereafter. In another example, users can select not to provide context information for determination of whether notifications are relevant. In yet another example, users can select to limit the length of time such context information is maintained. In addition to providing “opt in” and “opt out” options, the present disclosure contemplates providing notifications relating to the access or use of personal information. For instance, a user may be notified upon downloading an app that their personal information data will be accessed and then reminded again just before personal information data is accessed by the app.
[0349] [0349] Moreover, it is the intent of the present disclosure that personal information data should be managed and handled in a way to minimize risks of unintentional or unauthorized access or use. Risk can be minimized by limiting the collection of data and deleting data once it is no longer needed. In addition, and when applicable, including in certain health related applications, data de-identification can be used to protect a user's privacy. De-identification may be facilitated, when appropriate, by removing specific identifiers (e.g., date of birth, etc.), controlling the amount or specificity of data stored (e.g., collecting location data at a city level rather than at an address level), controlling how data is stored (e.g., aggregating data across users), and/or other methods.
[0350] [0350] Therefore, although the present disclosure broadly covers use of personal information data to implement one or more various disclosed embodiments, the present disclosure also contemplates that the various embodiments can also be implemented without the need for accessing such personal information data. That is, the various embodiments of the present technology are not rendered inoperable due to the lack of all or a portion of such personal information data. For example, the relevance of a notification can be determined based on non- personal information data (e.g., the content of the notification) or a bare minimum amount of personal information, such as the content being requested by the device associated with a user, other non-personal information available to a model that determines whether notifications are relevant, or publicly available information.
[0351] [0351] Exemplary methods, computer-readable storage media, systems, and electronic devices are set out in the following items:
1. A method for providing notifications, the method comprising: at an electronic device: receiving an indication of a notification; in accordance with receiving the indication of the notification: obtaining one or more data streams from one or more sensors; determining, based on the one or more data streams, whether a user associated with the electronic device is speaking; and in accordance with a determination that the user is not speaking: 102 causing an output associated with the notification to be provided.
2. The method of item 1, wherein the output associated with the notification includes a content of the notification.
3. The method of any of items 1 or 2, further comprising: in accordance with a determination that the user is speaking: forgoing causing the output associated with the notification to be provided; and causing a second output associated with the notification to be provided, the second output being shorter in duration than the first output.
4. The method of any of items 1-3, wherein obtaining the one or more data streams includes: concurrently obtaining the one or more data streams for a predetermined duration.
5. The method of item 4, wherein the predetermined duration is based on a determined relevance score of the notification.
6. The method of any of items 1-5, wherein determining that the user is not speaking includes: determining, based on the one or more data streams, that the user is not speaking for a — second predetermined duration.
7. The method of any of items 1-6, wherein: the one or more sensors include a microphone and a vibration sensor; and the one or more data streams include a first data stream obtained from the microphone and a second data stream obtained from the vibration sensor.
8. The method of item 7, wherein determining whether the user associated with the electronic device is speaking includes: determining that the first data stream indicates that the user is speaking; determining that the second data stream indicates that the user is speaking; and 103
DK 2020 70184 A1 in accordance with determining that the first data stream indicates that the user is speaking and in accordance with determining that the second data stream indicates that the user is speaking: determining that the user is speaking.
9. The method of any of items 7 or 8, wherein determining whether the user associated with the electronic device is speaking includes: determining that the first data stream indicates that the user is speaking; determining that the second data stream indicates that the user is not speaking; and in accordance with determining that the first data stream indicates that the user is speaking and determining that the second data stream indicates that the user is not speaking, determining that the user is not speaking.
10. The method of item 9, wherein: determining that the first data stream indicates that the user is speaking includes determining that a first portion of the first data stream indicates that the user is speaking; determining that the second data stream indicates that the user is not speaking includes determining that a second portion of the second data stream indicates that the user is not speaking; the first portion and the second portion have a same duration; and the first portion and the second portion are obtained at a same time.
11. The method of any of items 1-10, wherein determining whether the user associated with the electronic device is speaking includes: determining that the one or more data streams include a third portion indicating that the user is speaking; determining that a duration of the third portion is below a threshold duration; and in accordance with a determination that the duration of the third portion is below the threshold duration: determining that the user is not speaking. 104
DK 2020 70184 A1
12. The method of any of items 1-11, wherein the electronic device comprises a headset.
13. The method of item 12, wherein: the electronic device includes the one or more sensors; receiving the indication of the notification includes receiving the indication from an external electronic device, the notification being received at the external electronic device; and causing the output associated with the notification to be provided includes providing the output with a speaker of the electronic device.
14. The method of item 13, further comprising: while providing the output: detecting a speech input; and in response to detecting the speech input, terminating the output.
15. The method of any of items 13 or 14, further comprising: while providing the output: detecting a signal indicative of device removal; and in response to detecting the signal, terminating the output.
16. The method of any of items 13-15, further comprising: while providing the output: detecting a predetermined gesture performed at the electronic device; and in response to detecting the predetermined gesture, terminating the output.
17. The method of any of items 1-11, wherein: receiving the indication of the notification includes receiving the notification at the electronic device; obtaining the one or more data streams includes obtaining the one or more data streams from an external electronic device including the one or more sensors; and 105
DK 2020 70184 A1 causing the output associated with the notification to be provided includes causing the external electronic device to provide the output.
18. The method of any of items 1-17, further comprising: while causing the output associated with the notification to be provided: receiving an indication of a second notification; and in accordance with receiving the indication of the second notification: causing an output associated with the second notification to be provided after the output associated with the notification is provided.
19. The method of any of items 1-18, further comprising: determining whether a second external electronic device has provided a second output associated with the notification; and in accordance with determining that the second external electronic device has provided the second output associated with the notification: forgoing causing the output associated with the notification to be provided; and wherein causing the output associated with the notification to be provided is performed in accordance with determining that the second external electronic device has not provided the second output associated with the notification.
20. The method of any of items 1-19, further comprising: determining an importance score of the notification based on context information associated with the notification; and determining whether the importance score exceeds a first threshold; and wherein causing the output associated with the notification to be provided is performed in accordance with determining that the importance score exceeds the first threshold.
21. The method of any of items 1-20, further comprising: determining a timeliness score of the notification based on context information associated with the user; and determining whether the timeliness score exceeds a second threshold; and 106
DK 2020 70184 A1 wherein causing the output associated with the notification to be provided is performed in accordance with determining that the timeliness score exceeds the second threshold.
22. A method for responding to notifications, the method comprising: at an electronic device: causing a first output associated with a received notification to be provided; after the first output is provided: obtaining one or more data streams from one or more sensors; determining, based on the one or more data streams, whether a user associated with the electronic device is speaking; in accordance with a determination that the user is speaking: providing at least a portion of the one or more data streams to an external electronic device, the portion including data representing a received speech input requesting performance of a task associated with the notification; receiving, from the external electronic device, an indication that the task has been initiated; and causing a second output based on the received indication to be provided.
23. The method of item 22, wherein the speech input does not include a trigger phrase for initiating a digital assistant.
24. The method of any of items 22 or 23, further comprising: in accordance with determining that the user is not speaking: forgoing providing the one or more data streams to the external electronic device; and discarding the one or more data streams.
25. The method of any of items 22-24, wherein obtaining the one or more data streams includes: concurrently obtaining the one or more data streams for a predetermined duration. 107
DK 2020 70184 A1
26. The method of any of items 22-25, wherein: the one or more sensors include a microphone and a vibration sensor; and the one or more data streams include a first data stream obtained from the microphone and a second data stream obtained from the vibration sensor.
27. The method of item 26, wherein determining whether the user is speaking includes determining whether the second data stream indicates that the user is speaking for a second predetermined duration. 28 The method of any of items 26 or 27, wherein determining whether the user is speaking includes: determining that the second data stream includes a portion indicating that the user is speaking; determining whether a duration of the portion indicating that the user is speaking is below athreshold duration; and in accordance with determining that the duration is below the threshold duration: determining that the user is not speaking.
29. The method of any of items 26-28, wherein determining whether the user is speaking — includes: determining that the first data stream indicates that the user is speaking; determining that the second data stream indicates that the user is not speaking; and in accordance with determining that the first data stream indicates that the user is speaking and determining that the second data stream indicates that the user is not speaking, determining that the user is not speaking.
30. The method of any of items 22-29, wherein the electronic device comprises a headset.
31. The method of item 30, wherein: the electronic device includes the one or more sensors; 108
DK 2020 70184 A1 causing the first output to be provided includes providing the first output with a speaker of the electronic device; and causing the second output to be provided includes providing the second output with the speaker.
32. The method of item 31, further comprising: at the external electronic device: receiving, from the electronic device, the data representing the received speech input requesting performance of the task associated with the notification; sending the data to a second external electronic device; and in accordance with sending the data to the second external electronic device: receiving, from the second external electronic device, a result based on the initiation of the task; and in accordance with receiving the result based on the initiation of the task: sending the indication that the task has been initiated to the electronic device.
33. The method of any of items 22-30, wherein: causing the first output to be provided includes causing a second external electronic device to provide the first output, the second external electronic device including the one or more Sensors; obtaining the one or more data streams includes obtaining the one or more data streams from the second external electronic device; and causing the second output to be provided includes causing the second external electronic — device to provide the second output.
34. The method of item 33, further comprising: at the external electronic device: receiving, from the electronic device, the data representing the received speech input requesting performance of the task associated with the notification; 109
DK 2020 70184 A1 determining whether the speech input is associated with an intent to perform an action associated the notification; and in accordance with determining that the speech input is associated with an intent to perform an action associated with the notification: initiating the task; and sending the indication that the task has been initiated to the electronic device.
35. A method for providing notifications, the method comprising: at an electronic device: receiving an indication of a notification; in accordance with receiving the indication of the notification: determining whether an output associated with the notification would interrupt a user associated with the electronic device; and in accordance with a determination that the output would not interrupt the user: causing the output to be provided; and in accordance with a determination that the output would interrupt the user: forgoing causing the output to be provided.
36. An electronic device, comprising: one or more processors; a memory; and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, the one or more programs including instructions for: receiving an indication of a notification; in accordance with receiving the indication of the notification: obtaining one or more data streams from one or more sensors; determining, based on the one or more data streams, whether a user associated with the electronic device is speaking; and in accordance with a determination that the user is not speaking: 110
DK 2020 70184 A1 causing an output associated with the notification to be provided.
37. An electronic device, comprising: one or more processors; a memory; and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, the one or more programs including instructions for: causing a first output associated with a received notification to be provided; after the first output is provided: obtaining one or more data streams from one or more sensors; determining, based on the one or more data streams, whether a user associated with the electronic device is speaking; in accordance with a determination that the user is speaking: providing at least a portion of the one or more data streams to an external electronic device, the portion including data representing a received speech input requesting performance of a task associated with the notification; receiving, from the external electronic device, an indication that the task has been initiated; and causing a second output based on the received indication to be provided.
38. An electronic device, comprising: one or more Processors; a memory; and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, the one or more programs including instructions for: receiving an indication of a notification; in accordance with receiving the indication of the notification: 111
DK 2020 70184 A1 determining whether an output associated with the notification would interrupt a user associated with the electronic device; and in accordance with a determination that the output would not interrupt the user: causing the output to be provided; and in accordance with a determination that the output would interrupt the user: forgoing causing the output to be provided.
39. A non-transitory computer-readable storage medium storing one or more programs, the one or more programs comprising instructions, which when executed by one or more processors of an electronic device, cause the electronic device to: receive an indication of a notification; in accordance with receiving the indication of the notification: obtain one or more data streams from one or more sensors; determine, based on the one or more data streams, whether a user associated with the electronic device is speaking; and in accordance with a determination that the user is not speaking: cause an output associated with the notification to be provided.
40. A non-transitory computer-readable storage medium storing one or more programs, the one — or more programs comprising instructions, which when executed by one or more processors of an electronic device, cause the electronic device to: cause a first output associated with a received notification to be provided; after the first output is provided: obtain one or more data streams from one or more sensors; determine, based on the one or more data streams, whether a user associated with the electronic device is speaking; in accordance with a determination that the user is speaking: provide at least a portion of the one or more data streams to an external electronic device, the portion including data representing a received speech input requesting performance of a task associated with the notification; 112
DK 2020 70184 A1 receive, from the external electronic device, an indication that the task has been initiated; and cause a second output based on the received indication to be provided.
41. A non-transitory computer-readable storage medium storing one or more programs, the one or more programs comprising instructions, which when executed by one or more processors of an electronic device, cause the electronic device to: receive an indication of a notification; in accordance with receiving the indication of the notification: determine whether an output associated with the notification would interrupt a user associated with the electronic device; and in accordance with a determination that the output would not interrupt the user: cause the output to be provided; and in accordance with a determination that the output would interrupt the user: forgo causing the output to be provided.
42. An electronic device comprising means for: receiving an indication of a notification; in accordance with receiving the indication of the notification: obtaining one or more data streams from one or more sensors; determining, based on the one or more data streams, whether a user associated with the electronic device is speaking; and in accordance with a determination that the user is not speaking: causing an output associated with the notification to be provided.
43. An electronic device comprising means for: causing a first output associated with a received notification to be provided; after the first output is provided: obtaining one or more data streams from one or more sensors; determining, based on the one or more data streams, whether a user associated with the electronic device is speaking; 113
DK 2020 70184 A1 in accordance with a determination that the user is speaking: providing at least a portion of the one or more data streams to an external electronic device, the portion including data representing a received speech input requesting performance of a task associated with the notification; receiving, from the external electronic device, an indication that the task has been initiated; and causing a second output based on the received indication to be provided.
44. An electronic device comprising means for: receiving an indication of a notification; in accordance with receiving the indication of the notification: determining whether an output associated with the notification would interrupt a user associated with the electronic device; and in accordance with a determination that the output would not interrupt the user: causing the output to be provided; and in accordance with a determination that the output would interrupt the user: forgoing causing the output to be provided.
45. An electronic device, comprising: one or more processors; a memory; and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, the one or more programs including instructions for performing the methods of any one of items 1-21.
46. A system, comprising: one or more processors of one or more electronic devices; one or more memories of the one or more electronic devices; and one or more programs, wherein the one or more programs are stored in the one or more memories and configured to be executed by the one or more processors, the one or more programs including instructions for performing the methods of any one of items 22-34. 114
47. A non-transitory computer-readable storage medium storing one or more programs, the one or more programs comprising instructions, which when executed by one or more processors of an electronic device, cause the electronic device to perform the methods of any one ofitems 1-21.
48. One or more non-transitory computer-readable storage medium storing one or more programs, the one or more programs comprising instructions, which when executed by one or more processors of one or more electronic devices, cause the one or more electronic devices to perform the methods of any one of items 22-34.
49. An electronic device comprising: means for performing the methods of any of items 1-21.
50. A system comprising: means for performing the methods of any of items 22-34.
115

权利要求:
Claims (15)
[1] 1. A method for responding to notifications, the method comprising: at an electronic device: causing a first output associated with a received notification to be provided; after the first output is provided: obtaining one or more data streams from one or more sensors; determining, based on the one or more data streams, whether a user associated with the electronic device is speaking; in accordance with a determination that the user is speaking: providing at least a portion of the one or more data streams to an external electronic device, the portion including data representing a received speech input requesting performance of a task associated with the notification; receiving, from the external electronic device, an indication that the task has been initiated; and causing a second output based on the received indication to be provided.
[2] 2. The method of claim 1, wherein the speech input does not include a trigger phrase for initiating a digital assistant.
[3] 3. The method of any of claims I or 2, further comprising: in accordance with determining that the user is not speaking: forgoing providing the one or more data streams to the external electronic device; and discarding the one or more data streams.
[4] 4. The method of any of claims 1-3, wherein obtaining the one or more data streams includes: concurrently obtaining the one or more data streams for a predetermined duration.
[5] 5. The method of any of claims 1-4, wherein: the one or more sensors include a microphone and a vibration sensor; and 116
DK 2020 70184 A1 the one or more data streams include a first data stream obtained from the microphone and a second data stream obtained from the vibration sensor.
[6] 6. The method of claim 5, wherein determining whether the user is speaking includes determining whether the second data stream indicates that the user is speaking for a second predetermined duration.
[7] 7. The method of any of claims 5 or 6, wherein determining whether the user is speaking includes: determining that the second data stream includes a portion indicating that the user is speaking; determining whether a duration of the portion indicating that the user is speaking is below a threshold duration; and in accordance with determining that the duration is below the threshold duration: determining that the user is not speaking.
[8] 8. The method of any of claims 5-7, wherein determining whether the user is speaking includes: determining that the first data stream indicates that the user is speaking; determining that the second data stream indicates that the user is not speaking; and in accordance with determining that the first data stream indicates that the user is speaking and determining that the second data stream indicates that the user is not speaking, determining that the user is not speaking.
[9] 9. The method of any of claims 1-8, wherein the electronic device comprises a headset.
[10] 10. The method of claim 9, wherein: the electronic device includes the one or more sensors; causing the first output to be provided includes providing the first output with a speaker of the electronic device; and causing the second output to be provided includes providing the second output with the speaker. 117
DK 2020 70184 A1
[11] 11. The method of claim 10, further comprising: at the external electronic device: receiving, from the electronic device, the data representing the received speech input requesting performance of the task associated with the notification; sending the data to a second external electronic device; and in accordance with sending the data to the second external electronic device: receiving, from the second external electronic device, a result based on the initiation of the task; and in accordance with receiving the result based on the initiation of the task: sending the indication that the task has been initiated to the electronic device.
[12] 12. The method of any of claims 1-8, wherein: causing the first output to be provided includes causing a second external electronic device to provide the first output, the second external electronic device including the one or more Sensors; obtaining the one or more data streams includes obtaining the one or more data streams from the second external electronic device; and causing the second output to be provided includes causing the second external electronic device to provide the second output.
[13] 13. The method of claim 12, further comprising: at the external electronic device: receiving, from the electronic device, the data representing the received speech input requesting performance of the task associated with the notification; determining whether the speech input is associated with an intent to perform an action associated the notification; and in accordance with determining that the speech input is associated with an intent to perform an action associated with the notification: initiating the task; and 118
DK 2020 70184 A1 sending the indication that the task has been initiated to the electronic device.
[14] 14. A system, comprising: one or more processors of one or more electronic devices; one or more memories of the one or more electronic devices; and one or more programs, wherein the one or more programs are stored in the one or more memories and configured to be executed by the one or more processors, the one or more programs including instructions for performing the methods of any one of claims 1-13.
[15] 15. One or more non-transitory computer-readable storage medium storing one or more programs, the one or more programs comprising instructions, which when executed by one or more processors of one or more electronic devices, cause the one or more electronic devices to perform the methods of any one of claims 1-13. 119

类似技术:

---

公开号 | 公开日 | 专利标题

---

US10847142B2|2020-11-24|Maintaining privacy of personal information

---

US11217251B2|2022-01-04|Spoken notifications

---

US10818288B2|2020-10-27|Natural assistant interaction

---

US10755703B2|2020-08-25|Offline personal assistant

---

US9972304B2|2018-05-15|Privacy preserving distributed evaluation framework for embedded personalized systems

---

US10733982B2|2020-08-04|Multi-directional dialog

---

US11140099B2|2021-10-05|Providing message response suggestions

---

US10892996B2|2021-01-12|Variable latency device coordination

---

US11237797B2|2022-02-01|User activity shortcut suggestions

---

US20200380963A1|2020-12-03|Global re-ranker

---

US20200357409A1|2020-11-12|Interpreting spoken requests

---

US20200356243A1|2020-11-12|User configurable task triggers

---

US20200105260A1|2020-04-02|Multi-modal inputs for voice commands

---

US20160260433A1|2016-09-08|Structured dictation using intelligent automated assistants

---

DK201970487A1|2021-02-11|Voice assistant discoverability through on-device targeting and personalization

---

EP3699907B1|2022-03-02|Maintaining privacy of personal information

---

EP3596625A1|2020-01-22|Offline personal assistant

---

US20220021978A1|2022-01-20|Multi-device audio adjustment coordination

---

EP3602540B1|2020-08-05|Client server processing of a natural language input for maintaining privacy of personal information

---

EP3948867A1|2022-02-09|Spoken notifications

---

WO2021252827A1|2021-12-16|Providing personalized responses based on semantic context

同族专利:

---

公开号 | 公开日

---

DK201970509A1|2021-01-15|

---

US20200357406A1|2020-11-12|

---

US20220068278A1|2022-03-03|

---

US11217251B2|2022-01-04|

引用文献:

---

公开号 | 申请日 | 公开日 | 申请人 | 专利标题

---

---

US8073695B1|1992-12-09|2011-12-06|Adrea, LLC|Electronic book with voice emulation features|

---

US7835989B1|1992-12-09|2010-11-16|Discovery Communications, Inc.|Electronic book alternative delivery systems|

---

US6311157B1|1992-12-31|2001-10-30|Apple Computer, Inc.|Assigning meanings to utterances in a speech recognition system|

---

JPH0792993A|1993-09-20|1995-04-07|Fujitsu Ltd|Speech recognizing device|

---

US6122482A|1995-02-22|2000-09-19|Global Communications, Inc.|Satellite broadcast receiving and distribution system|

---

US5901287A|1996-04-01|1999-05-04|The Sabre Group Inc.|Information aggregation and synthesization system|

---

US7113958B1|1996-08-12|2006-09-26|Battelle Memorial Institute|Three-dimensional display of document set|

---

US6199076B1|1996-10-02|2001-03-06|James Logan|Audio program player including a dynamic program selection controller|

---

US20140098247A1|1999-06-04|2014-04-10|Ip Holdings, Inc.|Home Automation And Smart Home Control Using Mobile Devices And Wireless Enabled Electrical Switches|

---

US7787647B2|1997-01-13|2010-08-31|Micro Ear Technology, Inc.|Portable system for programming hearing aids|

---

US7603684B1|1998-05-19|2009-10-13|United Video Properties, Inc.|Program guide system with video-on-demand browsing|

---

US7711672B2|1998-05-28|2010-05-04|Lawrence Au|Semantic network methods to disambiguate natural language meaning|

---

US20070094223A1|1998-05-28|2007-04-26|Lawrence Au|Method and system for using contextual meaning in voice to text conversion|

---

US7672952B2|2000-07-13|2010-03-02|Novell, Inc.|System and method of semantic correlation of rich content|

---

WO2000021073A1|1998-10-02|2000-04-13|International Business Machines Corporation|Structure skeletons for efficient voice navigation through generic hierarchical objects|

---

US6163794A|1998-10-23|2000-12-19|General Magic|Network system extensible by users|

---

US6321092B1|1998-11-03|2001-11-20|Signal Soft Corporation|Multiple input data management for wireless location-based applications|

---

US7712053B2|1998-12-04|2010-05-04|Tegic Communications, Inc.|Explicit character filtering of ambiguous text entry|

---

US8938688B2|1998-12-04|2015-01-20|Nuance Communications, Inc.|Contextual prediction of user words and user actions|

---

US7881936B2|1998-12-04|2011-02-01|Tegic Communications, Inc.|Multimodal disambiguation of speech recognition|

---

US8095364B2|2004-06-02|2012-01-10|Tegic Communications, Inc.|Multimodal disambiguation of speech recognition|

---

US7679534B2|1998-12-04|2010-03-16|Tegic Communications, Inc.|Contextual prediction of user words and user actions|

---

US6842877B2|1998-12-18|2005-01-11|Tangis Corporation|Contextual responses based on automated learning techniques|

---

US7447637B1|1998-12-23|2008-11-04|Eastern Investments, Llc|System and method of processing speech within a graphic user interface|

---

GB2388938B|1999-02-22|2004-03-17|Nokia Corp|A communication terminal having a predictive editor application|

---

US7596606B2|1999-03-11|2009-09-29|Codignotto John D|Message publishing system for publishing messages from identified, authorized senders|

---

US7761296B1|1999-04-02|2010-07-20|International Business Machines Corporation|System and method for rescoring N-best hypotheses of an automatic speech recognition system|

---

US7558381B1|1999-04-22|2009-07-07|Agere Systems Inc.|Retrieval of deleted voice messages in voice messaging system|

---

KR100723738B1|1999-05-27|2007-05-30|에이오엘 엘엘씨|Keyboard system with automatic correction|

---

US7030863B2|2000-05-26|2006-04-18|America Online, Incorporated|Virtual keyboard system with automatic correction|

---

WO2000073936A1|1999-05-28|2000-12-07|Sehda, Inc.|Phrase-based dialogue modeling with particular application to creating recognition grammars for voice-controlled user interfaces|

---

US8065155B1|1999-06-10|2011-11-22|Gazdzinski Robert F|Adaptive advertising apparatus and methods|

---

US7711565B1|1999-06-10|2010-05-04|Gazdzinski Robert F|“Smart” elevator system and method|

---

AUPQ138199A0|1999-07-02|1999-07-29|Telstra R & D Management Pty Ltd|A search system|

---

US7451177B1|1999-08-12|2008-11-11|Avintaquin Capital, Llc|System for and method of implementing a closed loop response architecture for electronic commerce|

---

US7743188B2|1999-08-12|2010-06-22|Palm, Inc.|Method and apparatus for accessing a contacts database and telephone services|

---

US7925610B2|1999-09-22|2011-04-12|Google Inc.|Determining a meaning of a knowledge item using document-based information|

---

US6789231B1|1999-10-05|2004-09-07|Microsoft Corporation|Method and system for providing alternatives for text derived from stochastic input sources|

---

US7176372B2|1999-10-19|2007-02-13|Medialab Solutions Llc|Interactive digital music recorder and player|

---

US8392188B1|1999-11-05|2013-03-05|At&T Intellectual Property Ii, L.P.|Method and system for building a phonotactic model for domain independent speech recognition|

---

US7725307B2|1999-11-12|2010-05-25|Phoenix Solutions, Inc.|Query engine for processing voice based queries including semantic decoding|

---

US7050977B1|1999-11-12|2006-05-23|Phoenix Solutions, Inc.|Speech-enabled server for internet website and method|

---

US9076448B2|1999-11-12|2015-07-07|Nuance Communications, Inc.|Distributed real time speech recognition system|

---

US7392185B2|1999-11-12|2008-06-24|Phoenix Solutions, Inc.|Speech based learning/training system using semantic decoding|

---

US7337389B1|1999-12-07|2008-02-26|Microsoft Corporation|System and method for annotating an electronic document independently of its content|

---

US7434177B1|1999-12-20|2008-10-07|Apple Inc.|User interface for providing consolidation and access|

---

US8271287B1|2000-01-14|2012-09-18|Alcatel Lucent|Voice command remote control system|

---

GB2360106B|2000-02-21|2004-09-22|Ac Properties Bv|Ordering playable works|

---

US6757362B1|2000-03-06|2004-06-29|Avaya Technology Corp.|Personal virtual assistant|

---

EP1275042A2|2000-03-06|2003-01-15|Kanisa Inc.|A system and method for providing an intelligent multi-step dialog with a user|

---

US8024415B2|2001-03-16|2011-09-20|Microsoft Corporation|Priorities generation and management|

---

US8645137B2|2000-03-16|2014-02-04|Apple Inc.|Fast, language-independent method for user authentication by voice|

---

US7187947B1|2000-03-28|2007-03-06|Affinity Labs, Llc|System and method for communicating selected information to an electronic device|

---

US7478129B1|2000-04-18|2009-01-13|Helen Jeanne Chemtob|Method and apparatus for providing group interaction via communications networks|

---

US7821503B2|2003-04-09|2010-10-26|Tegic Communications, Inc.|Touch screen and graphical user interface|

---

US7080315B1|2000-06-28|2006-07-18|International Business Machines Corporation|Method and apparatus for coupling a visual browser to a voice browser|

---

US7853664B1|2000-07-31|2010-12-14|Landmark Digital Services Llc|Method and system for purchasing pre-recorded music|

---

JP2002156241A|2000-11-16|2002-05-31|Matsushita Electric Ind Co Ltd|Navigation apparatus and recording medium with program recorded thereon|

---

US6915262B2|2000-11-30|2005-07-05|Telesector Resources Group, Inc.|Methods and apparatus for performing speech recognition and using speech recognition results|

---

US7016847B1|2000-12-08|2006-03-21|Ben Franklin Patent Holdings L.L.C.|Open architecture for a voice user interface|

---

DE60131683T2|2000-12-11|2008-10-30|Microsoft Corp., Redmond|METHOD AND SYSTEM FOR MANAGING MULTIPLE NETWORK OPERATING AGENTS|

---

US7607083B2|2000-12-12|2009-10-20|Nec Corporation|Test summarization using relevance measures and latent semantic analysis|

---

US6973427B2|2000-12-26|2005-12-06|Microsoft Corporation|Method for adding phonetic descriptions to a speech recognition lexicon|

---

US7437286B2|2000-12-27|2008-10-14|Intel Corporation|Voice barge-in in telephony speech recognition|

---

US20050134578A1|2001-07-13|2005-06-23|Universal Electronics Inc.|System and methods for interacting with a control environment|

---

US8213910B2|2001-02-09|2012-07-03|Harris Technology, Llc|Telephone using a connection network for processing data remotely from the telephone|

---

JP2002236029A|2001-02-09|2002-08-23|Alpine Electronics Inc|Vocal guidance device|

---

US7171365B2|2001-02-16|2007-01-30|International Business Machines Corporation|Tracking time using portable recorders and speech recognition|

---

US7290039B1|2001-02-27|2007-10-30|Microsoft Corporation|Intent based processing|

---

US7277853B1|2001-03-02|2007-10-02|Mindspeed Technologies, Inc.|System and method for a endpoint detection of speech for improved speech recognition in noisy environments|

---

US7366979B2|2001-03-09|2008-04-29|Copernicus Investments, Llc|Method and apparatus for annotating a document|

---

AU2002237495A1|2001-03-13|2002-09-24|Intelligate Ltd.|Dynamic natural language understanding|

---

CA2408624A1|2001-03-14|2002-09-19|At&T Corp.|Method for automated sentence planning|

---

US7209880B1|2001-03-20|2007-04-24|At&T Corp.|Systems and methods for dynamic re-configurable speech recognition|

---

JP2002358092A|2001-06-01|2002-12-13|Sony Corp|Voice synthesizing system|

---

US20020194003A1|2001-06-05|2002-12-19|Mozer Todd F.|Client-server security system and method|

---

US8831949B1|2001-06-28|2014-09-09|At&T Intellectual Property I, L.P.|Voice recognition for performing authentication and completing transactions in a systems interface to legacy systems|

---

US7606712B1|2001-06-28|2009-10-20|At&T Intellectual Property Ii, L.P.|Speech recognition interface for voice actuation of legacy systems|

---

US7987151B2|2001-08-10|2011-07-26|General Dynamics Advanced Info Systems, Inc.|Apparatus and method for problem solving using intelligent agents|

---

US7920682B2|2001-08-21|2011-04-05|Byrne William J|Dynamic interactive voice interface|

---

US7774388B1|2001-08-31|2010-08-10|Margaret Runchey|Model of everything with UR-URL combination identity-identifier-addressing-indexing method, means, and apparatus|

---

KR100556072B1|2001-09-21|2006-03-07|레노보 피티이. 엘티디.|Input apparatus, computer apparatus, method for identifying input object, method for identifying input object in keyboard, and computer program|

---

US7403938B2|2001-09-24|2008-07-22|Iac Search & Media, Inc.|Natural language query processing|

---

US7324947B2|2001-10-03|2008-01-29|Promptu Systems Corporation|Global speech user interface|

---

ITFI20010199A1|2001-10-22|2003-04-22|Riccardo Vieri|SYSTEM AND METHOD TO TRANSFORM TEXTUAL COMMUNICATIONS INTO VOICE AND SEND THEM WITH AN INTERNET CONNECTION TO ANY TELEPHONE SYSTEM|

---

US7312785B2|2001-10-22|2007-12-25|Apple Inc.|Method and apparatus for accelerated scrolling|

---

US7913185B1|2001-10-25|2011-03-22|Adobe Systems Incorporated|Graphical insertion of JavaScript pop-up menus|

---

US8249880B2|2002-02-14|2012-08-21|Intellisist, Inc.|Real-time display of system instructions|

---

US20030101054A1|2001-11-27|2003-05-29|Ncc, Llc|Integrated system and method for electronic speech recognition and transcription|

---

US7483832B2|2001-12-10|2009-01-27|At&T Intellectual Property I, L.P.|Method and system for customizing voice translation of text to speech|

---

US7490039B1|2001-12-13|2009-02-10|Cisco Technology, Inc.|Text to speech system and method having interactive spelling capabilities|

---

US7103542B2|2001-12-14|2006-09-05|Ben Franklin Patent Holding Llc|Automatically improving a voice recognition system|

---

US8374879B2|2002-02-04|2013-02-12|Microsoft Corporation|Systems and methods for managing interactions from multiple speech-enabled applications|

---

US7272377B2|2002-02-07|2007-09-18|At&T Corp.|System and method of ubiquitous language translation for wireless devices|

---

JP3902483B2|2002-02-13|2007-04-04|三菱電機株式会社|Audio processing apparatus and audio processing method|

---

US7221287B2|2002-03-05|2007-05-22|Triangle Software Llc|Three-dimensional traffic report|

---

JP2003295882A|2002-04-02|2003-10-15|Canon Inc|Text structure for speech synthesis, speech synthesizing method, speech synthesizer and computer program therefor|

---

US7707221B1|2002-04-03|2010-04-27|Yahoo! Inc.|Associating and linking compact disc metadata|

---

US7043474B2|2002-04-15|2006-05-09|International Business Machines Corporation|System and method for measuring image similarity based on semantic meaning|

---

US7869998B1|2002-04-23|2011-01-11|At&T Intellectual Property Ii, L.P.|Voice-enabled dialog system|

---

US7490034B2|2002-04-30|2009-02-10|Microsoft Corporation|Lexicon with sectionalized data and method of using the same|

---

US7221937B2|2002-05-06|2007-05-22|Research In Motion Limited|Event reminder method|

---

US7149983B1|2002-05-08|2006-12-12|Microsoft Corporation|User interface and method to facilitate hierarchical specification of queries using an information taxonomy|

---

US7493560B1|2002-05-20|2009-02-17|Oracle International Corporation|Definition links in online documentation|

---

US8611919B2|2002-05-23|2013-12-17|Wounder Gmbh., Llc|System, method, and computer program product for providing location based services and mobile e-commerce|

---

US7546382B2|2002-05-28|2009-06-09|International Business Machines Corporation|Methods and systems for authoring of mixed-initiative multi-modal interactions and related browsing mechanisms|

---

US7398209B2|2002-06-03|2008-07-08|Voicebox Technologies, Inc.|Systems and methods for responding to natural language speech utterance|

---

US7680649B2|2002-06-17|2010-03-16|International Business Machines Corporation|System, method, program product, and networking use for recognizing words and their parts of speech in one or more natural languages|

---

US8219608B2|2002-06-20|2012-07-10|Koninklijke Philips Electronics N.V.|Scalable architecture for web services|

---

US7568151B2|2002-06-27|2009-07-28|Microsoft Corporation|Notification of activity around documents|

---

US7079713B2|2002-06-28|2006-07-18|Microsoft Corporation|Method and system for displaying and linking ink objects with recognized text and objects|

---

WO2004003887A2|2002-06-28|2004-01-08|Conceptual Speech, Llc|Multi-phoneme streamer and knowledge representation speech recognition system and method|

---

US7693720B2|2002-07-15|2010-04-06|Voicebox Technologies, Inc.|Mobile systems and methods for responding to natural language speech utterance|

---

US7665024B1|2002-07-22|2010-02-16|Verizon Services Corp.|Methods and apparatus for controlling a user interface based on the emotional state of a user|

---

US6876727B2|2002-07-24|2005-04-05|Sbc Properties, Lp|Voice over IP method for developing interactive voice response system|

---

US7535997B1|2002-07-29|2009-05-19|At&T Intellectual Property I, L.P.|Systems and methods for silent message delivery|

---

US7027842B2|2002-09-24|2006-04-11|Bellsouth Intellectual Property Corporation|Apparatus and method for providing hands-free operation of a device|

---

US9342829B2|2002-10-01|2016-05-17|Andrew H B Zhou|Systems and methods for mobile application, wearable application, transactional messaging, calling, digital multimedia capture and payment transactions|

---

US8972266B2|2002-11-12|2015-03-03|David Bezar|User intent analysis extent of speaker intent analysis system|

---

US7822611B2|2002-11-12|2010-10-26|Bezar David B|Speaker intent analysis system|

---

WO2004049306A1|2002-11-22|2004-06-10|Roy Rosser|Autonomous response engine|

---

US7298930B1|2002-11-29|2007-11-20|Ricoh Company, Ltd.|Multimodal access of meeting recordings|

---

AU2003296981A1|2002-12-10|2004-06-30|Kirusa, Inc.|Techniques for disambiguating speech input using multimodal interfaces|

---

KR100580619B1|2002-12-11|2006-05-16|삼성전자주식회사|Apparatus and method of managing dialog between user and agent|

---

FR2848688A1|2002-12-17|2004-06-18|France Telecom|Text language identifying device for linguistic analysis of text, has analyzing unit to analyze chain characters of words extracted from one text, where each chain is completed so that each time chains are found in word|

---

AU2002353389A1|2002-12-20|2004-07-14|Nokia Corporation|Method and device for organizing user provided information with meta-information|

---

US8661112B2|2002-12-20|2014-02-25|Nuance Communications, Inc.|Customized interactive voice response menus|

---

US7703091B1|2002-12-31|2010-04-20|Emc Corporation|Methods and apparatus for installing agents in a managed network|

---

US7003464B2|2003-01-09|2006-02-21|Motorola, Inc.|Dialog recognition and control in a voice browser|

---

US7593868B2|2003-01-29|2009-09-22|Innovation Interactive Llc|Systems and methods for providing contextual advertising information via a communication network|

---

US7617094B2|2003-02-28|2009-11-10|Palo Alto Research Center Incorporated|Methods, apparatus, and products for identifying a conversation|

---

US7805299B2|2004-03-01|2010-09-28|Coifman Robert E|Method and apparatus for improving the transcription accuracy of speech recognition software|

---

US7809565B2|2003-03-01|2010-10-05|Coifman Robert E|Method and apparatus for improving the transcription accuracy of speech recognition software|

---

US7529671B2|2003-03-04|2009-05-05|Microsoft Corporation|Block synchronous decoding|

---

JP4828091B2|2003-03-05|2011-11-30|ヒューレット・パッカード・カンパニー|Clustering method program and apparatus|

---

US8064753B2|2003-03-05|2011-11-22|Freeman Alan D|Multi-feature media article and method for manufacture of same|

---

US7835504B1|2003-03-16|2010-11-16|Palm, Inc.|Telephone number parsing and linking|

---

US8244712B2|2003-03-18|2012-08-14|Apple Inc.|Localized viewing of file system names|

---

US7613797B2|2003-03-19|2009-11-03|Unisys Corporation|Remote discovery and system architecture|

---

US7496498B2|2003-03-24|2009-02-24|Microsoft Corporation|Front-end architecture for a multi-lingual text-to-speech system|

---

US8745541B2|2003-03-25|2014-06-03|Microsoft Corporation|Architecture for controlling a computer using hand gestures|

---

US7941009B2|2003-04-08|2011-05-10|The Penn State Research Foundation|Real-time computerized annotation of pictures|

---

US8224757B2|2003-04-15|2012-07-17|Sap Ag|Curriculum management system|

---

US7711550B1|2003-04-29|2010-05-04|Microsoft Corporation|Methods and system for recognizing names in a computer-generated document and for providing helpful actions associated with recognized names|

---

US7669134B1|2003-05-02|2010-02-23|Apple Inc.|Method and apparatus for displaying information during an instant messaging session|

---

US7443971B2|2003-05-05|2008-10-28|Microsoft Corporation|Computer system with do not disturb system and method|

---

US7561069B2|2003-11-12|2009-07-14|Legalview Assets, Limited|Notification systems and methods enabling a response to change particulars of delivery or pickup|

---

US7407384B2|2003-05-29|2008-08-05|Robert Bosch Gmbh|System, method and device for language education through a voice portal server|

---

US7493251B2|2003-05-30|2009-02-17|Microsoft Corporation|Using source-channel models for word segmentation|

---

US7496230B2|2003-06-05|2009-02-24|International Business Machines Corporation|System and method for automatic natural language translation of embedded text regions in images during information transfer|

---

US7778432B2|2003-06-06|2010-08-17|Gn Resound A/S|Hearing aid wireless network|

---

US7720683B1|2003-06-13|2010-05-18|Sensory, Inc.|Method and apparatus of specifying and performing speech recognition operations|

---

KR100634496B1|2003-06-16|2006-10-13|삼성전자주식회사|Input language recognition method and apparatus and method and apparatus for automatically interchanging input language modes employing the same|

---

US7559026B2|2003-06-20|2009-07-07|Apple Inc.|Video conferencing system having focus control|

---

US7827047B2|2003-06-24|2010-11-02|At&T Intellectual Property I, L.P.|Methods and systems for assisting scheduling with automation|

---

US7757182B2|2003-06-25|2010-07-13|Microsoft Corporation|Taskbar media player|

---

US7634732B1|2003-06-26|2009-12-15|Microsoft Corporation|Persona menu|

---

US7739588B2|2003-06-27|2010-06-15|Microsoft Corporation|Leveraging markup language data for semantically labeling text strings and data and for providing actions based on semantically labeled text strings and data|

---

US7580551B1|2003-06-30|2009-08-25|The Research Foundation Of State University Of Ny|Method and apparatus for analyzing and/or comparing handwritten and/or biometric samples|

---

AU2003304306A1|2003-07-01|2005-01-21|Nokia Corporation|Method and device for operating a user-input area on an electronic display device|

---

US8373660B2|2003-07-14|2013-02-12|Matt Pallakoff|System and method for a portable multimedia client|

---

US7757173B2|2003-07-18|2010-07-13|Apple Inc.|Voice menu system|

---

KR100811232B1|2003-07-18|2008-03-07|엘지전자 주식회사|Turn-by-turn navigation system ? next guidance way|

---

US20060236258A1|2003-08-11|2006-10-19|Core Mobility, Inc.|Scheduling of rendering of location-based content|

---

US8311835B2|2003-08-29|2012-11-13|Microsoft Corporation|Assisted multi-modal dialogue|

---

US7475010B2|2003-09-03|2009-01-06|Lingospot, Inc.|Adaptive and scalable method for resolving natural language ambiguities|

---

US7475015B2|2003-09-05|2009-01-06|International Business Machines Corporation|Semantic language modeling and confidence measurement|

---

US7539619B1|2003-09-05|2009-05-26|Spoken Translation Ind.|Speech-enabled language translation system and method enabling interactive user supervision of translation and speech recognition accuracy|

---

US20050054381A1|2003-09-05|2005-03-10|Samsung Electronics Co., Ltd.|Proactive user interface|

---

WO2005027485A1|2003-09-12|2005-03-24|Nokia Corporation|Method and device for handling missed calls in a mobile communications environment|

---

US7418392B1|2003-09-25|2008-08-26|Sensory, Inc.|System and method for controlling the operation of a device by voice commands|

---

US7386440B2|2003-10-01|2008-06-10|International Business Machines Corporation|Method, system, and apparatus for natural language mixed-initiative dialogue processing|

---

KR100814143B1|2003-10-03|2008-03-14|아사히 가세이가부시키가이샤|Data processing device and data processing device control program|

---

US7620894B1|2003-10-08|2009-11-17|Apple Inc.|Automatic, dynamic user interface configuration|

---

US7487092B2|2003-10-17|2009-02-03|International Business Machines Corporation|Interactive debugging and tuning method for CTTS voice building|

---

US7643990B1|2003-10-23|2010-01-05|Apple Inc.|Global boundary-centric feature extraction and associated discontinuity metrics|

---

US7669177B2|2003-10-24|2010-02-23|Microsoft Corporation|System and method for preference application installation and execution|

---

WO2005048239A1|2003-11-12|2005-05-26|Honda Motor Co., Ltd.|Speech recognition device|

---

US7779356B2|2003-11-26|2010-08-17|Griesmer James P|Enhanced data tip system and method|

---

US20090018918A1|2004-11-04|2009-01-15|Manyworlds Inc.|Influence-based Social Network Advertising|

---

DE602004016681D1|2003-12-05|2008-10-30|Kenwood Corp|AUDIO DEVICE CONTROL DEVICE, AUDIO DEVICE CONTROL METHOD AND PROGRAM|

---

US7689412B2|2003-12-05|2010-03-30|Microsoft Corporation|Synonymous collocation extraction using translation information|

---

US7412388B2|2003-12-12|2008-08-12|International Business Machines Corporation|Language-enhanced programming tools|

---

US7427024B1|2003-12-17|2008-09-23|Gazdzinski Mark J|Chattel management apparatus and methods|

---

US7009663B2|2003-12-17|2006-03-07|Planar Systems, Inc.|Integrated optical light sensitive active matrix liquid crystal display|

---

EP1699042B1|2003-12-26|2010-02-17|Kabushiki Kaisha Kenwood|Device control device,method and program|

---

US7552055B2|2004-01-10|2009-06-23|Microsoft Corporation|Dialog component re-use in recognition systems|

---

US8160883B2|2004-01-10|2012-04-17|Microsoft Corporation|Focus tracking in dialogs|

---

US8281339B1|2004-01-12|2012-10-02|United Video Properties, Inc.|Customizable flip and browse overlays in an interactive television system|

---

US7660715B1|2004-01-12|2010-02-09|Avaya Inc.|Transparent monitoring and intervention to improve automatic adaptation of speech models|

---

US7610258B2|2004-01-30|2009-10-27|Microsoft Corporation|System and method for exposing a child list|

---

US7596499B2|2004-02-02|2009-09-29|Panasonic Corporation|Multilingual text-to-speech system with limited resources|

---

US7542971B2|2004-02-02|2009-06-02|Fuji Xerox Co., Ltd.|Systems and methods for collaborative note-taking|

---

WO2010105244A2|2009-03-12|2010-09-16|Exbiblio B.V.|Performing actions based on capturing information from rendered documents, such as documents under copyright|

---

US7707039B2|2004-02-15|2010-04-27|Exbiblio B.V.|Automatic modification of web pages|

---

US8713418B2|2004-04-12|2014-04-29|Google Inc.|Adding value to a rendered document|

---

US7721226B2|2004-02-18|2010-05-18|Microsoft Corporation|Glom widget|

---

US7433876B2|2004-02-23|2008-10-07|Radar Networks, Inc.|Semantic web portal and platform|

---

US8654936B1|2004-02-24|2014-02-18|At&T Intellectual Property I, L.P.|Home control, monitoring and communication system using remote voice commands|

---

KR100462292B1|2004-02-26|2004-12-17|엔에이치엔|A method for providing search results list based on importance information and a system thereof|

---

US20050195094A1|2004-03-05|2005-09-08|White Russell W.|System and method for utilizing a bicycle computer to monitor athletic performance|

---

US7693715B2|2004-03-10|2010-04-06|Microsoft Corporation|Generating large units of graphonemes with mutual information criterion for letter to sound conversion|

---

US7711129B2|2004-03-11|2010-05-04|Apple Inc.|Method and system for approximating graphic equalizers using dynamic filter order reduction|

---

US7478033B2|2004-03-16|2009-01-13|Google Inc.|Systems and methods for translating Chinese pinyin to Chinese characters|

---

JP4587160B2|2004-03-26|2010-11-24|キヤノン株式会社|Signal processing apparatus and method|

---

US7716216B1|2004-03-31|2010-05-11|Google Inc.|Document ranking based on semantic distance between terms in a document|

---

US7496512B2|2004-04-13|2009-02-24|Microsoft Corporation|Refining of segmental boundaries in speech waveforms using contextual-dependent models|

---

US7623119B2|2004-04-21|2009-11-24|Nokia Corporation|Graphical functions by gestures|

---

US7657844B2|2004-04-30|2010-02-02|International Business Machines Corporation|Providing accessibility compliance within advanced componentry|

---

JP4296598B2|2004-04-30|2009-07-15|カシオ計算機株式会社|Communication terminal device and communication terminal processing program|

---

US7663607B2|2004-05-06|2010-02-16|Apple Inc.|Multipoint touchscreen|

---

US7447665B2|2004-05-10|2008-11-04|Kinetx, Inc.|System and method of self-learning conceptual mapping to organize and interpret data|

---

US7778830B2|2004-05-19|2010-08-17|International Business Machines Corporation|Training speaker-dependent, phrase-based speech grammars using an unsupervised automated technique|

---

US8130929B2|2004-05-25|2012-03-06|Galileo Processing, Inc.|Methods for obtaining complex data in an interactive voice response system|

---

US7873149B2|2004-06-01|2011-01-18|Verizon Business Global Llc|Systems and methods for gathering information|

---

US7673340B1|2004-06-02|2010-03-02|Clickfox Llc|System and method for analyzing system user behavior|

---

US8224649B2|2004-06-02|2012-07-17|International Business Machines Corporation|Method and apparatus for remote command, control and diagnostics of systems using conversational or audio interface|

---

EP1766940A4|2004-06-04|2012-04-11|Systems Ltd Keyless|System to enhance data entry in mobile and fixed environment|

---

WO2005119193A1|2004-06-04|2005-12-15|Philips Intellectual Property & Standards Gmbh|Performance prediction for an interactive speech recognition system|

---

WO2005122145A1|2004-06-08|2005-12-22|Metaphor Solutions, Inc.|Speech recognition dialog management|

---

US20050289559A1|2004-06-08|2005-12-29|Daniel Illowsky|Method and system for vertical layering between levels in a processing unit facilitating direct event-structures and event-queues level-to-level communication without translation|

---

US7565104B1|2004-06-16|2009-07-21|Wendell Brown|Broadcast audio program guide|

---

US8321786B2|2004-06-17|2012-11-27|Apple Inc.|Routine and interface for correcting electronic text|

---

GB0413743D0|2004-06-19|2004-07-21|Ibm|Method and system for approximate string matching|

---

US20070214133A1|2004-06-23|2007-09-13|Edo Liberty|Methods for filtering data and filling in missing data using nonlinear inference|

---

US8099395B2|2004-06-24|2012-01-17|Oracle America, Inc.|System level identity object|

---

US7720674B2|2004-06-29|2010-05-18|Sap Ag|Systems and methods for processing natural language queries|

---

JP4416643B2|2004-06-29|2010-02-17|キヤノン株式会社|Multimodal input method|

---

US7505795B1|2004-07-07|2009-03-17|Advanced Micro Devices, Inc.|Power save management with customized range for user configuration and tuning value based upon recent usage|

---

US8589156B2|2004-07-12|2013-11-19|Hewlett-Packard Development Company, L.P.|Allocation of speech recognition tasks and combination of results thereof|

---

US7823123B2|2004-07-13|2010-10-26|The Mitre Corporation|Semantic system for integrating software components|

---

JP4301102B2|2004-07-22|2009-07-22|ソニー株式会社|Audio processing apparatus, audio processing method, program, and recording medium|

---

US8036893B2|2004-07-22|2011-10-11|Nuance Communications, Inc.|Method and system for identifying and correcting accent-induced speech recognition difficulties|

---

US7936861B2|2004-07-23|2011-05-03|At&T Intellectual Property I, L.P.|Announcement system and method of use|

---

US7603349B1|2004-07-29|2009-10-13|Yahoo! Inc.|User interfaces for search systems using in-line contextual queries|

---

US8479122B2|2004-07-30|2013-07-02|Apple Inc.|Gestures for touch sensitive input devices|

---

US8381135B2|2004-07-30|2013-02-19|Apple Inc.|Proximity detector in handheld device|

---

US7725318B2|2004-07-30|2010-05-25|Nice Systems Inc.|System and method for improving the accuracy of audio searching|

---

US7614008B2|2004-07-30|2009-11-03|Apple Inc.|Operation of a computer with touch screen interface|

---

US7633076B2|2005-09-30|2009-12-15|Apple Inc.|Automated response to and sensing of user activity in portable devices|

---

US7653883B2|2004-07-30|2010-01-26|Apple Inc.|Proximity detector in handheld device|

---

US7831601B2|2004-08-04|2010-11-09|International Business Machines Corporation|Method for automatically searching for documents related to calendar and email entries|

---

US7728821B2|2004-08-06|2010-06-01|Touchtable, Inc.|Touch detecting interactive display|

---

US7724242B2|2004-08-06|2010-05-25|Touchtable, Inc.|Touch driven method and apparatus to integrate and display multiple image layers forming alternate depictions of same subject matter|

---

US7508324B2|2004-08-06|2009-03-24|Daniel Suraqui|Finger activated reduced keyboard and a method for performing text input|

---

JP4563106B2|2004-08-09|2010-10-13|アルパイン株式会社|In-vehicle device and audio output method thereof|

---

US7869999B2|2004-08-11|2011-01-11|Nuance Communications, Inc.|Systems and methods for selecting from multiple phonectic transcriptions for text-to-speech synthesis|

---

US8407239B2|2004-08-13|2013-03-26|Google Inc.|Multi-stage query processing system and method for use with tokenspace repository|

---

US7895531B2|2004-08-16|2011-02-22|Microsoft Corporation|Floating command object|

---

US8117542B2|2004-08-16|2012-02-14|Microsoft Corporation|User interface for displaying selectable software functionality controls that are contextually relevant to a selected object|

---

US7912699B1|2004-08-23|2011-03-22|At&T Intellectual Property Ii, L.P.|System and method of lattice-based search for spoken utterance retrieval|

---

US20060048055A1|2004-08-25|2006-03-02|Jun Wu|Fault-tolerant romanized input method for non-roman characters|

---

US7853574B2|2004-08-26|2010-12-14|International Business Machines Corporation|Method of generating a context-inferenced search query and of sorting a result of the query|

---

US7477238B2|2004-08-31|2009-01-13|Research In Motion Limited|Handheld electronic device with text disambiguation|

---

US20060059424A1|2004-09-15|2006-03-16|Petri Jonah W|Real-time data localization|

---

US7319385B2|2004-09-17|2008-01-15|Nokia Corporation|Sensor data sharing|

---

US7716056B2|2004-09-27|2010-05-11|Robert Bosch Corporation|Method and system for interactive conversational dialogue for cognitively overloaded device users|

---

US8107401B2|2004-09-30|2012-01-31|Avaya Inc.|Method and apparatus for providing a virtual assistant to a communication participant|

---

US7603381B2|2004-09-30|2009-10-13|Microsoft Corporation|Contextual action publishing|

---

US7936863B2|2004-09-30|2011-05-03|Avaya Inc.|Method and apparatus for providing communication tasks in a workflow|

---

KR100754385B1|2004-09-30|2007-08-31|삼성전자주식회사|Apparatus and method for object localization, tracking, and separation using audio and video sensors|

---

US8744852B1|2004-10-01|2014-06-03|Apple Inc.|Spoken interfaces|

---

US7756871B2|2004-10-13|2010-07-13|Hewlett-Packard Development Company, L.P.|Article extraction|

---

US7543232B2|2004-10-19|2009-06-02|International Business Machines Corporation|Intelligent web based help system|

---

US7693719B2|2004-10-29|2010-04-06|Microsoft Corporation|Providing personalized voice font for text-to-speech applications|

---

US7983835B2|2004-11-03|2011-07-19|Lagassey Paul J|Modular intelligent transportation system|

---

US7735012B2|2004-11-04|2010-06-08|Apple Inc.|Audio user interface for computing devices|

---

KR101087483B1|2004-11-04|2011-11-28|엘지전자 주식회사|Method and apparatus for controlling output of audio signal for route guidance in navigation system|

---

US7584092B2|2004-11-15|2009-09-01|Microsoft Corporation|Unsupervised learning of paraphrase/translation alternations and selective application thereof|

---

US7885844B1|2004-11-16|2011-02-08|Amazon Technologies, Inc.|Automatically generating task recommendations for human task performers|

---

JP4604178B2|2004-11-22|2010-12-22|独立行政法人産業技術総合研究所|Speech recognition apparatus and method, and program|

---

US20090005012A1|2004-11-23|2009-01-01|Van Heugten Flemming|Processing a Message Received From a Mobile Cellular Network|

---

US7702500B2|2004-11-24|2010-04-20|Blaedow Karen R|Method and apparatus for determining the meaning of natural language|

---

US8150872B2|2005-01-24|2012-04-03|The Intellection Group, Inc.|Multimodal natural language query system for processing and analyzing voice and proximity-based queries|

---

US7873654B2|2005-01-24|2011-01-18|The Intellection Group, Inc.|Multimodal natural language query system for processing and analyzing voice and proximity-based queries|

---

JP4297442B2|2004-11-30|2009-07-15|富士通株式会社|Handwritten information input device|

---

US8498865B1|2004-11-30|2013-07-30|Vocera Communications, Inc.|Speech recognition system and method using group call statistics|

---

US7630900B1|2004-12-01|2009-12-08|Tellme Networks, Inc.|Method and system for selecting grammars based on geographic information associated with a caller|

---

US8214214B2|2004-12-03|2012-07-03|Phoenix Solutions, Inc.|Emotion detection device and method for use in distributed systems|

---

US7636657B2|2004-12-09|2009-12-22|Microsoft Corporation|Method and apparatus for automatic grammar generation from data entries|

---

US7853445B2|2004-12-10|2010-12-14|Deception Discovery Technologies LLC|Method and system for the automatic recognition of deceptive language|

---

US20060206330A1|2004-12-22|2006-09-14|David Attwater|Mode confidence|

---

US7818672B2|2004-12-30|2010-10-19|Microsoft Corporation|Floating action buttons|

---

US7987244B1|2004-12-30|2011-07-26|At&T Intellectual Property Ii, L.P.|Network repository for voice fonts|

---

US7721301B2|2005-03-31|2010-05-18|Microsoft Corporation|Processing files from a mobile device using voice commands|

---

US8478589B2|2005-01-05|2013-07-02|At&T Intellectual Property Ii, L.P.|Library of existing spoken dialog data for use in generating new natural language spoken dialog systems|

---

US7593782B2|2005-01-07|2009-09-22|Apple Inc.|Highly portable media device|

---

US8069422B2|2005-01-10|2011-11-29|Samsung Electronics, Co., Ltd.|Contextual task recommendation system and method for determining user's context and suggesting tasks|

---

WO2007080559A2|2006-01-16|2007-07-19|Zlango Ltd.|Iconic communication|

---

US7529677B1|2005-01-21|2009-05-05|Itt Manufacturing Enterprises, Inc.|Methods and apparatus for remotely processing locally generated commands to control a local device|

---

US8228299B1|2005-01-27|2012-07-24|Singleton Technology, Llc|Transaction automation and archival system using electronic contract and disclosure units|

---

US7508373B2|2005-01-28|2009-03-24|Microsoft Corporation|Form factor and input method for language input|

---

EP1849099B1|2005-02-03|2014-05-07|Apple Inc.|Recommender system for identifying a new set of media items responsive to an input set of media items and knowledge base metrics|

---

US7895039B2|2005-02-04|2011-02-22|Vocollect, Inc.|Methods and systems for optimizing model adaptation for a speech recognition system|

---

US8200495B2|2005-02-04|2012-06-12|Vocollect, Inc.|Methods and systems for considering information about an expected response when performing speech recognition|

---

US9101279B2|2006-02-15|2015-08-11|Virtual Video Reality By Ritchey, Llc|Mobile user borne brain activity data and surrounding environment data correlation system|

---

US7813481B1|2005-02-18|2010-10-12|At&T Mobility Ii Llc|Conversation recording with real-time notification for users of communication terminals|

---

JP2006237735A|2005-02-22|2006-09-07|Denso Corp|Vehicular navigation device|

---

US8041557B2|2005-02-24|2011-10-18|Fuji Xerox Co., Ltd.|Word translation device, translation method, and computer readable medium|

---

US7634413B1|2005-02-25|2009-12-15|Apple Inc.|Bitrate constrained variable bitrate audio encoding|

---

US7656393B2|2005-03-04|2010-02-02|Apple Inc.|Electronic device having display and surrounding touch sensitive bezel for user interface and control|

---

US7676026B1|2005-03-08|2010-03-09|Baxtech Asia Pte Ltd|Desktop telephony system|

---

US7814514B2|2005-03-10|2010-10-12|Panasonic Corporation|Digital broadcast receiving apparatus configured for use with copy control information|

---

JP4404211B2|2005-03-14|2010-01-27|富士ゼロックス株式会社|Multilingual translation memory, translation method and translation program|

---

US7706510B2|2005-03-16|2010-04-27|Research In Motion|System and method for personalized text-to-voice synthesis|

---

US7565380B1|2005-03-24|2009-07-21|Netlogic Microsystems, Inc.|Memory optimized pattern searching|

---

US7925525B2|2005-03-25|2011-04-12|Microsoft Corporation|Smart reminders|

---

US8346757B1|2005-03-28|2013-01-01|Google Inc.|Determining query terms of little significance|

---

US7664558B2|2005-04-01|2010-02-16|Apple Inc.|Efficient techniques for modifying audio playback rates|

---

EP1866810A1|2005-04-04|2007-12-19|MOR Dynamics Pty Ltd|Method for transforming language into a visual form|

---

GB0507036D0|2005-04-07|2005-05-11|Ibm|Method and system for language identification|

---

GB0507148D0|2005-04-08|2005-05-18|Ibm|Method and apparatus for multimodal voice and web services|

---

US9471566B1|2005-04-14|2016-10-18|Oracle America, Inc.|Method and apparatus for converting phonetic language input to written language output|

---

US7516123B2|2005-04-14|2009-04-07|International Business Machines Corporation|Page rank for the semantic web query|

---

US8260617B2|2005-04-18|2012-09-04|Nuance Communications, Inc.|Automating input when testing voice-enabled applications|

---

US7627481B1|2005-04-19|2009-12-01|Apple Inc.|Adapting masking thresholds for encoding a low frequency transient signal in audio data|

---

US7996589B2|2005-04-22|2011-08-09|Microsoft Corporation|Auto-suggest lists and handwritten input|

---

US7584093B2|2005-04-25|2009-09-01|Microsoft Corporation|Method and system for generating spelling suggestions|

---

US7684990B2|2005-04-29|2010-03-23|Nuance Communications, Inc.|Method and apparatus for multiple value confirmation and correction in spoken dialog systems|

---

EP2227042B1|2005-05-03|2011-12-28|Oticon A/S|System and method for sharing network resources between hearing devices|

---

US8046374B1|2005-05-06|2011-10-25|Symantec Corporation|Automatic training of a database intrusion detection system|

---

US7606580B2|2005-05-11|2009-10-20|Aol Llc|Personalized location information for mobile devices|

---

JP4645299B2|2005-05-16|2011-03-09|株式会社デンソー|In-vehicle display device|

---

US7886233B2|2005-05-23|2011-02-08|Nokia Corporation|Electronic text input involving word completion functionality for predicting word candidates for partial word inputs|

---

US7539882B2|2005-05-30|2009-05-26|Rambus Inc.|Self-powered devices and methods|

---

FR2886445A1|2005-05-30|2006-12-01|France Telecom|METHOD, DEVICE AND COMPUTER PROGRAM FOR SPEECH RECOGNITION|

---

US8041570B2|2005-05-31|2011-10-18|Robert Bosch Corporation|Dialogue management using scripts|

---

US8126710B2|2005-06-01|2012-02-28|Loquendo S.P.A.|Conservative training method for adapting a neural network of an automatic speech recognition device|

---

US7580576B2|2005-06-02|2009-08-25|Microsoft Corporation|Stroke localization and binding to electronic document|

---

US8024195B2|2005-06-27|2011-09-20|Sensory, Inc.|Systems and methods of performing speech recognition using historical information|

---

US8396715B2|2005-06-28|2013-03-12|Microsoft Corporation|Confidence threshold tuning|

---

US7538685B1|2005-06-28|2009-05-26|Avaya Inc.|Use of auditory feedback and audio queues in the realization of a personal virtual assistant|

---

GB0513225D0|2005-06-29|2005-08-03|Ibm|Method and system for building and contracting a linguistic dictionary|

---

US7542967B2|2005-06-30|2009-06-02|Microsoft Corporation|Searching an index of media content|

---

US7873523B2|2005-06-30|2011-01-18|Microsoft Corporation|Computer implemented method of analyzing recognition results between a user and an interactive application utilizing inferred values instead of transcribed speech|

---

US7885390B2|2005-07-01|2011-02-08|Soleo Communications, Inc.|System and method for multi-modal personal communication services|

---

US7826945B2|2005-07-01|2010-11-02|You Zhang|Automobile speech-recognition interface|

---

US7881283B2|2005-07-13|2011-02-01|Research In Motion Limited|Customizability of event notification on telephony-enabled devices|

---

US9094636B1|2005-07-14|2015-07-28|Zaxcom, Inc.|Systems and methods for remotely controlling local audio devices in a virtual wireless multitrack recording system|

---

JP4114888B2|2005-07-20|2008-07-09|松下電器産業株式会社|Voice quality change location identification device|

---

US7912720B1|2005-07-20|2011-03-22|At&T Intellectual Property Ii, L.P.|System and method for building emotional machines|

---

US7613264B2|2005-07-26|2009-11-03|Lsi Corporation|Flexible sampling-rate encoder|

---

US20090048821A1|2005-07-27|2009-02-19|Yahoo! Inc.|Mobile language interpreter with text to speech|

---

US7571092B1|2005-07-29|2009-08-04|Sun Microsystems, Inc.|Method and apparatus for on-demand localization of files|

---

US7640160B2|2005-08-05|2009-12-29|Voicebox Technologies, Inc.|Systems and methods for responding to natural language speech utterance|

---

US8694322B2|2005-08-05|2014-04-08|Microsoft Corporation|Selective confirmation for execution of a voice activated user interface|

---

US7844037B2|2005-08-08|2010-11-30|Palm, Inc.|Method and device for enabling message responses to incoming phone calls|

---

CA2618626C|2005-08-09|2016-10-18|Stephen S. Burns|A voice controlled wireless communication device system|

---

US7620549B2|2005-08-10|2009-11-17|Voicebox Technologies, Inc.|System and method of supporting adaptive misrecognition in conversational speech|

---

JP2009505204A|2005-08-11|2009-02-05|コーニンクレッカフィリップスエレクトロニクスエヌヴィ|Methods for driving interactive and interface systems|

---

US20090076821A1|2005-08-19|2009-03-19|Gracenote, Inc.|Method and apparatus to control operation of a playback device|

---

US7949529B2|2005-08-29|2011-05-24|Voicebox Technologies, Inc.|Mobile systems and methods of supporting natural language human-machine interactions|

---

US8078551B2|2005-08-31|2011-12-13|Intuview Ltd.|Decision-support expert system and methods for real-time exploitation of documents in non-english languages|

---

US7634409B2|2005-08-31|2009-12-15|Voicebox Technologies, Inc.|Dynamic speech sharpening|

---

US8265939B2|2005-08-31|2012-09-11|Nuance Communications, Inc.|Hierarchical methods and apparatus for extracting user intent from spoken utterances|

---

US8677377B2|2005-09-08|2014-03-18|Apple Inc.|Method and apparatus for building an intelligent automated assistant|

---

US7779069B2|2005-09-09|2010-08-17|Soonr Corporation|Network adapted for mobile devices|

---

GB2430101A|2005-09-09|2007-03-14|Mitsubishi Electric Inf Tech|Applying metadata for video navigation|

---

US8688671B2|2005-09-14|2014-04-01|Millennial Media|Managing sponsored content based on geographic region|

---

US8819659B2|2005-09-14|2014-08-26|Millennial Media, Inc.|Mobile search service instant activation|

---

US9250703B2|2006-03-06|2016-02-02|Sony Computer Entertainment Inc.|Interface with gaze detection and voice input|

---

US8275399B2|2005-09-21|2012-09-25|Buckyball Mobile Inc.|Dynamic context-data tag cloud|

---

US8270933B2|2005-09-26|2012-09-18|Zoomsafer, Inc.|Safety features for portable electronic device|

---

US7788590B2|2005-09-26|2010-08-31|Microsoft Corporation|Lightweight reference user interface|

---

US7505784B2|2005-09-26|2009-03-17|Barbera Melvin A|Safety features for portable electronic device|

---

US7992085B2|2005-09-26|2011-08-02|Microsoft Corporation|Lightweight reference user interface|

---

US7711562B1|2005-09-27|2010-05-04|At&T Intellectual Property Ii, L.P.|System and method for testing a TTS voice|

---

US9009046B1|2005-09-27|2015-04-14|At&T Intellectual Property Ii, L.P.|System and method for disambiguating multiple intents in a natural language dialog system|

---

US7693716B1|2005-09-27|2010-04-06|At&T Intellectual Property Ii, L.P.|System and method of developing a TTS voice|

---

JP5120826B2|2005-09-29|2013-01-16|独立行政法人産業技術総合研究所|Pronunciation diagnosis apparatus, pronunciation diagnosis method, recording medium, and pronunciation diagnosis program|

---

JP4908094B2|2005-09-30|2012-04-04|株式会社リコー|Information processing system, information processing method, and information processing program|

---

US7930168B2|2005-10-04|2011-04-19|Robert Bosch Gmbh|Natural language processing of disfluent sentences|

---

CN100483399C|2005-10-09|2009-04-29|株式会社东芝|Training transliteration model, segmentation statistic model and automatic transliterating method and device|

---

WO2007044806A2|2005-10-11|2007-04-19|Aol Llc|Ordering of conversations based on monitored recipient user interaction with corresponding electronic messages|

---

US7624019B2|2005-10-17|2009-11-24|Microsoft Corporation|Raising the visibility of a voice-activated user interface|

---

US8401163B1|2005-10-18|2013-03-19|Callwave Communications, Llc|Methods and systems for call processing and for providing call progress status over a network|

---

US7707032B2|2005-10-20|2010-04-27|National Cheng Kung University|Method and system for matching speech data|

---

US8204266B2|2005-10-21|2012-06-19|Sfx Technologies Limited|Audio devices|

---

US20070094024A1|2005-10-22|2007-04-26|International Business Machines Corporation|System and method for improving text input in a shorthand-on-keyboard interface|

---

US7395959B2|2005-10-27|2008-07-08|International Business Machines Corporation|Hands free contact database information entry at a communication device|

---

KR100755678B1|2005-10-28|2007-09-05|삼성전자주식회사|Apparatus and method for detecting named entity|

---

US7778632B2|2005-10-28|2010-08-17|Microsoft Corporation|Multi-modal device capable of automated actions|

---

US9026915B1|2005-10-31|2015-05-05|At&T Intellectual Property Ii, L.P.|System and method for creating a presentation using natural language|

---

US7936339B2|2005-11-01|2011-05-03|Leapfrog Enterprises, Inc.|Method and system for invoking computer functionality by interaction with dynamically generated interface regions of a writing surface|

---

US7640158B2|2005-11-08|2009-12-29|Multimodal Technologies, Inc.|Automatic detection and application of editing patterns in draft documents|

---

US7676463B2|2005-11-15|2010-03-09|Kroll Ontrack, Inc.|Information exploration systems and method|

---

US8042048B2|2005-11-17|2011-10-18|Att Knowledge Ventures, L.P.|System and method for home automation|

---

WO2007062398A2|2005-11-22|2007-05-31|Walker Digital, Llc|Systems, products and processes for conducting instant lottery games|

---

US8055707B2|2005-11-30|2011-11-08|Alcatel Lucent|Calendar interface for digital communications|

---

US20100304342A1|2005-11-30|2010-12-02|Linguacomm Enterprises Inc.|Interactive Language Education System and Method|

---

US7577522B2|2005-12-05|2009-08-18|Outland Research, Llc|Spatially associated personal reminder system and method|

---

GB2433403B|2005-12-16|2009-06-24|Emil Ltd|A text editing apparatus and method|

---

US9330668B2|2005-12-20|2016-05-03|International Business Machines Corporation|Sharing voice application processing via markup|

---

US8234494B1|2005-12-21|2012-07-31|At&T Intellectual Property Ii, L.P.|Speaker-verification digital signatures|

---

DE102005061365A1|2005-12-21|2007-06-28|Siemens Ag|Background applications e.g. home banking system, controlling method for use over e.g. user interface, involves associating transactions and transaction parameters over universal dialog specification, and universally operating applications|

---

US7996228B2|2005-12-22|2011-08-09|Microsoft Corporation|Voice initiated network operations|

---

US7657849B2|2005-12-23|2010-02-02|Apple Inc.|Unlocking a device by performing gestures on an unlock image|

---

US7599918B2|2005-12-29|2009-10-06|Microsoft Corporation|Dynamic search with implicit user intention mining|

---

US7685144B1|2005-12-29|2010-03-23|Google Inc.|Dynamically autocompleting a data entry|

---

US7890330B2|2005-12-30|2011-02-15|Alpine Electronics Inc.|Voice recording tool for creating database used in text to speech synthesis system|

---

TWI302265B|2005-12-30|2008-10-21|High Tech Comp Corp|Moving determination apparatus|

---

US7673238B2|2006-01-05|2010-03-02|Apple Inc.|Portable media device with video acceleration capabilities|

---

US7684991B2|2006-01-05|2010-03-23|Alpine Electronics, Inc.|Digital audio file search method and apparatus using text-to-speech processing|

---

JP2007183864A|2006-01-10|2007-07-19|Fujitsu Ltd|File retrieval method and system therefor|

---

US8006180B2|2006-01-10|2011-08-23|Mircrosoft Corporation|Spell checking in network browser based applications|

---

JP4241736B2|2006-01-19|2009-03-18|株式会社東芝|Speech processing apparatus and method|

---

FR2896603B1|2006-01-20|2008-05-02|Thales Sa|METHOD AND DEVICE FOR EXTRACTING INFORMATION AND TRANSFORMING THEM INTO QUALITATIVE DATA OF A TEXTUAL DOCUMENT|

---

AU2007257435A1|2006-01-20|2007-12-13|Conversational Computing Corporation|Wearable display interface client|

---

US9275129B2|2006-01-23|2016-03-01|Symantec Corporation|Methods and systems to efficiently find similar and near-duplicate emails and files|

---

US9600568B2|2006-01-23|2017-03-21|Veritas Technologies Llc|Methods and systems for automatic evaluation of electronic discovery review and productions|

---

US7840912B2|2006-01-30|2010-11-23|Apple Inc.|Multi-touch gesture dictionary|

---

US7929805B2|2006-01-31|2011-04-19|The Penn State Research Foundation|Image-based CAPTCHA generation system|

---

IL174107D0|2006-02-01|2006-08-01|Grois Dan|Method and system for advertising by means of a search engine over a data network|

---

US7818291B2|2006-02-03|2010-10-19|The General Electric Company|Data object access system and method using dedicated task object|

---

US8352183B2|2006-02-04|2013-01-08|Microsoft Corporation|Maps for social networking and geo blogs|

---

US7836437B2|2006-02-10|2010-11-16|Microsoft Corporation|Semantic annotations for virtual objects|

---

WO2008084209A2|2007-01-09|2008-07-17|Spinvox Limited|A mobile telephone programmed to allow a user to speak a message which is then remotely automatically converted to text|

---

US20090222270A2|2006-02-14|2009-09-03|Ivc Inc.|Voice command interface device|

---

US7541940B2|2006-02-16|2009-06-02|International Business Machines Corporation|Proximity-based task alerts|

---

US7983910B2|2006-03-03|2011-07-19|International Business Machines Corporation|Communicating across voice and text channels with emotion preservation|

---

KR100764174B1|2006-03-03|2007-10-08|삼성전자주식회사|Apparatus for providing voice dialogue service and method for operating the apparatus|

---

US8532678B2|2006-03-08|2013-09-10|Tomtom International B.V.|Portable GPS navigation device|

---

EP1835488B1|2006-03-17|2008-11-19|Svox AG|Text to speech synthesis|

---

US7752152B2|2006-03-17|2010-07-06|Microsoft Corporation|Using predictive user models for language modeling on a personal device with user behavior models based on statistical modeling|

---

DE102006037156A1|2006-03-22|2007-09-27|Volkswagen Ag|Interactive operating device and method for operating the interactive operating device|

---

JP4734155B2|2006-03-24|2011-07-27|株式会社東芝|Speech recognition apparatus, speech recognition method, and speech recognition program|

---

US7724696B1|2006-03-29|2010-05-25|Amazon Technologies, Inc.|Predictive reader power management|

---

US20070233806A1|2006-03-29|2007-10-04|Mehrzad Asadi|Method and system for conducting an internet search using a mobile radio terminal|

---

US8018431B1|2006-03-29|2011-09-13|Amazon Technologies, Inc.|Page turner for handheld electronic book reader device|

---

US7930183B2|2006-03-29|2011-04-19|Microsoft Corporation|Automatic identification of dialog timing problems for an interactive speech dialog application using speech log data indicative of cases of barge-in and timing problems|

---

US7283072B1|2006-03-30|2007-10-16|International Business Machines Corporation|Methods of creating a dictionary for data compression|

---

WO2007114226A1|2006-03-31|2007-10-11|Pioneer Corporation|Voice input support device, method thereof, program thereof, recording medium containing the program, and navigation device|

---

US7756708B2|2006-04-03|2010-07-13|Google Inc.|Automatic language model update|

---

EP2005319B1|2006-04-04|2017-01-11|Johnson Controls Technology Company|System and method for extraction of meta data from a digital media storage device for media selection in a vehicle|

---

US7996769B2|2006-04-05|2011-08-09|Research In Motion Limited|Handheld electronic device and method for performing spell checking during text entry and for providing a spell-check learning feature|

---

US7797629B2|2006-04-05|2010-09-14|Research In Motion Limited|Handheld electronic device and method for performing optimized spell checking during text entry by providing a sequentially ordered series of spell-check algorithms|

---

US7777717B2|2006-04-05|2010-08-17|Research In Motion Limited|Handheld electronic device and method for performing spell checking during text entry and for integrating the output from such spell checking into the output from disambiguation|

---

US7693717B2|2006-04-12|2010-04-06|Custom Speech Usa, Inc.|Session file modification with annotation using speech recognition or text to speech|

---

US7707027B2|2006-04-13|2010-04-27|Nuance Communications, Inc.|Identification and rejection of meaningless input during natural language classification|

---

US8046363B2|2006-04-13|2011-10-25|Lg Electronics Inc.|System and method for clustering documents|

---

EP1845699B1|2006-04-13|2009-11-11|Fraunhofer-Gesellschaft zur Förderung der angewandten Forschung e.V.|Audio signal decorrelator|

---

GB2451371B|2006-04-17|2011-02-23|Vovision Llc|Method and systems for correcting transcribed audio files|

---

US8077153B2|2006-04-19|2011-12-13|Microsoft Corporation|Precise selection techniques for multi-touch screens|

---

US7475063B2|2006-04-19|2009-01-06|Google Inc.|Augmenting queries with synonyms selected using language statistics|

---

KR100771626B1|2006-04-25|2007-10-31|엘지전자 주식회사|Terminal device and method for inputting instructions thereto|

---

US8392183B2|2006-04-25|2013-03-05|Frank Elmo Weber|Character-based automated media summarization|

---

US20070255554A1|2006-04-26|2007-11-01|Lucent Technologies Inc.|Language translation service for text message communications|

---

US8214213B1|2006-04-27|2012-07-03|At&T Intellectual Property Ii, L.P.|Speech recognition based on pronunciation modeling|

---

US7757176B2|2006-05-03|2010-07-13|Sanjay Vakil|Method and system for collective calendaring|

---

US9020804B2|2006-05-10|2015-04-28|Xerox Corporation|Method for aligning sentences at the word level enforcing selective contiguity constraints|

---

CN101437573B|2006-05-10|2013-08-28|皇家飞利浦电子股份有限公司|Automatic external defibrillator with enhanced clarity of audible prompts|

---

WO2007133716A2|2006-05-11|2007-11-22|Cerebode, Inc.|Multimodal communication and command control systems and related methods|

---

US20090307594A1|2006-05-12|2009-12-10|Timo Kosonen|Adaptive User Interface|

---

CN101075228B|2006-05-15|2012-05-23|松下电器产业株式会社|Method and apparatus for named entity recognition in natural language|

---

US7779353B2|2006-05-19|2010-08-17|Microsoft Corporation|Error checking web documents|

---

US7596765B2|2006-05-23|2009-09-29|Sony Ericsson Mobile Communications Ab|Sound feedback on menu navigation|

---

US7831423B2|2006-05-25|2010-11-09|Multimodal Technologies, Inc.|Replacing text representing a concept with an alternate written form of the concept|

---

US7483894B2|2006-06-07|2009-01-27|Platformation Technologies, Inc|Methods and apparatus for entity search|

---

US20100257160A1|2006-06-07|2010-10-07|Yu Cao|Methods & apparatus for searching with awareness of different types of information|

---

US7523108B2|2006-06-07|2009-04-21|Platformation, Inc.|Methods and apparatus for searching with awareness of geography and languages|

---

US7853577B2|2006-06-09|2010-12-14|Ebay Inc.|Shopping context engine|

---

US7774202B2|2006-06-12|2010-08-10|Lockheed Martin Corporation|Speech activated control system and related methods|

---

US8332218B2|2006-06-13|2012-12-11|Nuance Communications, Inc.|Context-based grammars for automated speech recognition|

---

WO2008001485A1|2006-06-26|2008-01-03|Nec Corporation|Language model generating system, language model generating method, and language model generating program|

---

US20070297618A1|2006-06-26|2007-12-27|Nokia Corporation|System and method for controlling headphones|

---

US7548895B2|2006-06-30|2009-06-16|Microsoft Corporation|Communication-prompted user assistance|

---

US8050500B1|2006-07-06|2011-11-01|Senapps, LLC|Recognition method and system|

---

WO2008004486A1|2006-07-06|2008-01-10|Panasonic Corporation|Voice input device|

---

US20080010387A1|2006-07-07|2008-01-10|Bryce Allen Curtis|Method for defining a Wiki page layout using a Wiki page|

---

US7756710B2|2006-07-13|2010-07-13|Sri International|Method and apparatus for error correction in speech recognition applications|

---

US8134481B2|2006-08-11|2012-03-13|Honda Motor Co., Ltd.|Method and system for receiving and sending navigational data via a wireless messaging service on a navigation system|

---

US7646296B2|2006-08-11|2010-01-12|Honda Motor Co., Ltd.|Method and system for receiving and sending navigational data via a wireless messaging service on a navigation system|

---

US7796980B1|2006-08-11|2010-09-14|Sprint Communications Company L.P.|Remote mobile voice control of digital/personal video recorder|

---

KR100753838B1|2006-08-11|2007-08-31|한국전자통신연구원|Method and apparatus for supporting a adaptive driving|

---

US7747601B2|2006-08-14|2010-06-29|Inquira, Inc.|Method and apparatus for identifying and classifying query intent|

---

US20100174544A1|2006-08-28|2010-07-08|Mark Heifets|System, method and end-user device for vocal delivery of textual data|

---

CN101513030A|2006-08-30|2009-08-19|日本电气株式会社|Voice mixing method, multipoint conference server using the method, and program|

---

US9071701B2|2006-08-31|2015-06-30|Qualcomm Incorporated|Using wireless characteristic to trigger generation of position fix|

---

US7689408B2|2006-09-01|2010-03-30|Microsoft Corporation|Identifying language of origin for words using estimates of normalized appearance frequency|

---

US8170790B2|2006-09-05|2012-05-01|Garmin Switzerland Gmbh|Apparatus for switching navigation device mode|

---

US7683886B2|2006-09-05|2010-03-23|Research In Motion Limited|Disambiguated text message review function|

---

US8564544B2|2006-09-06|2013-10-22|Apple Inc.|Touch screen device, method, and graphical user interface for customizing display of content category icons|

---

US7996792B2|2006-09-06|2011-08-09|Apple Inc.|Voicemail manager for portable multifunction device|

---

US8589869B2|2006-09-07|2013-11-19|Wolfram Alpha Llc|Methods and systems for determining a formula|

---

JP2008064687A|2006-09-08|2008-03-21|Toyota Motor Corp|Travel information guiding device|

---

TWI322610B|2006-09-08|2010-03-21|Htc Corp|Handheld electronic device|

---

US9892650B2|2006-09-11|2018-02-13|Houghton Mifflin Harcourt Publishing Company|Recovery of polled data after an online test platform failure|

---

WO2008033095A1|2006-09-15|2008-03-20|Agency For Science, Technology And Research|Apparatus and method for speech utterance verification|

---

US20100278453A1|2006-09-15|2010-11-04|King Martin T|Capture and display of annotations in paper and electronic documents|

---

KR100813170B1|2006-09-27|2008-03-17|삼성전자주식회사|Method and system for semantic event indexing by analyzing user annotation of digital photos|

---

US8014308B2|2006-09-28|2011-09-06|Microsoft Corporation|Hardware architecture for cloud services|

---

US7528713B2|2006-09-28|2009-05-05|Ektimisi Semiotics Holdings, Llc|Apparatus and method for providing a task reminder based on travel history|

---

US7930197B2|2006-09-28|2011-04-19|Microsoft Corporation|Personal data mining|

---

US8214208B2|2006-09-28|2012-07-03|Reqall, Inc.|Method and system for sharing portable voice profiles|

---

US7649454B2|2006-09-28|2010-01-19|Ektimisi Semiotics Holdings, Llc|System and method for providing a task reminder based on historical travel information|

---

US7831432B2|2006-09-29|2010-11-09|International Business Machines Corporation|Audio menus describing media contents of media players|

---

US7945470B1|2006-09-29|2011-05-17|Amazon Technologies, Inc.|Facilitating performance of submitted tasks by mobile task performers|

---

US7673251B1|2006-10-02|2010-03-02|Adobe Systems, Incorporated|Panel presentation|

---

EP1909263B1|2006-10-02|2009-01-28|Harman Becker Automotive Systems GmbH|Exploitation of language identification of media file data in speech dialog systems|

---

US7801721B2|2006-10-02|2010-09-21|Google Inc.|Displaying original text in a user interface with translated text|

---

JP2008092269A|2006-10-02|2008-04-17|Matsushita Electric Ind Co Ltd|Hands-free communication device|

---

US7937075B2|2006-10-06|2011-05-03|At&T Intellectual Property I, L.P.|Mode changing of a mobile communications device and vehicle settings when the mobile communications device is in proximity to a vehicle|

---

JP2008096541A|2006-10-06|2008-04-24|Canon Inc|Speech processing device and control method therefor|

---

US8145473B2|2006-10-10|2012-03-27|Abbyy Software Ltd.|Deep model statistics method for machine translation|

---

US20100278391A1|2006-10-12|2010-11-04|Yung-Tai Hsu|Apparatus for behavior analysis and method thereof|

---

US8073681B2|2006-10-16|2011-12-06|Voicebox Technologies, Inc.|System and method for a cooperative conversational voice user interface|

---

WO2008050225A2|2006-10-24|2008-05-02|Edgetech America, Inc.|Method for spell-checking location-bound words within a document|

---

US8255216B2|2006-10-30|2012-08-28|Nuance Communications, Inc.|Speech recognition of character sequences|

---

US9471333B2|2006-11-03|2016-10-18|Conceptual Speech, Llc|Contextual speech-recognition user-interface driven system and method|

---

US9355568B2|2006-11-13|2016-05-31|Joyce S. Stone|Systems and methods for providing an electronic reader having interactive and educational features|

---

CN101193460B|2006-11-20|2011-09-28|松下电器产业株式会社|Sound detection device and method|

---

WO2008061903A1|2006-11-22|2008-05-29|Agfa Healthcate Inc.|Method and system for client / server distributed image processing|

---

US8135115B1|2006-11-22|2012-03-13|Securus Technologies, Inc.|System and method for multi-channel recording|

---

US8055502B2|2006-11-28|2011-11-08|General Motors Llc|Voice dialing using a rejection reference|

---

US8401847B2|2006-11-30|2013-03-19|National Institute Of Advanced Industrial Science And Technology|Speech recognition system and program therefor|

---

GB0623915D0|2006-11-30|2007-01-10|Ibm|Phonetic decoding and concatentive speech synthesis|

---

US8571862B2|2006-11-30|2013-10-29|Ashwin P. Rao|Multimodal interface for input of text|

---

US9830912B2|2006-11-30|2017-11-28|Ashwin P Rao|Speak and touch auto correction interface|

---

US7831246B1|2006-12-08|2010-11-09|At&T Mobility Ii, Llc|Mobile merchant|

---

EP2103178A1|2006-12-13|2009-09-23|Phonak AG|Method and system for hearing device fitting|

---

US8731610B2|2006-12-13|2014-05-20|Samsung Electronics Co., Ltd.|Method for adaptive user interface in mobile devices|

---

US7783644B1|2006-12-13|2010-08-24|Google Inc.|Query-independent entity importance in books|

---

US7646297B2|2006-12-15|2010-01-12|At&T Intellectual Property I, L.P.|Context-detected auto-mode switching|

---

US7552045B2|2006-12-18|2009-06-23|Nokia Corporation|Method, apparatus and computer program product for providing flexible text based language identification|

---

US8447589B2|2006-12-22|2013-05-21|Nec Corporation|Text paraphrasing method and program, conversion rule computing method and program, and text paraphrasing system|

---

US7865817B2|2006-12-29|2011-01-04|Amazon Technologies, Inc.|Invariant referencing in digital works|

---

US8019271B1|2006-12-29|2011-09-13|Nextel Communications, Inc.|Methods and systems for presenting information on mobile devices|

---

EP2183913A4|2007-07-30|2011-06-22|Lg Electronics Inc|Display device and speaker system for the display device|

---

WO2008086216A2|2007-01-05|2008-07-17|Johnson Controls Technology Company|System and method for customized audio prompting|

---

US7889185B2|2007-01-05|2011-02-15|Apple Inc.|Method, system, and graphical user interface for activating hyperlinks|

---

US8060824B2|2007-01-05|2011-11-15|Starz Entertainment Llc|User interface for a multimedia service|

---

US7889184B2|2007-01-05|2011-02-15|Apple Inc.|Method, system and graphical user interface for displaying hyperlink information|

---

US8391844B2|2007-01-07|2013-03-05|Apple Inc.|Voicemail systems and methods|

---

US8056070B2|2007-01-10|2011-11-08|Goller Michael D|System and method for modifying and updating a speech recognition program|

---

US7912724B1|2007-01-18|2011-03-22|Adobe Systems Incorporated|Audio comparison using phoneme matching|

---

KR100837166B1|2007-01-20|2008-06-11|엘지전자 주식회사|Method of displaying an information in electronic device and the electronic device thereof|

---

US9524355B2|2007-01-22|2016-12-20|Mozy, Inc.|Methods for delivering task-related digital content based on task-oriented user activity|

---

US7707226B1|2007-01-29|2010-04-27|Aol Inc.|Presentation of content items based on dynamic monitoring of real-time context|

---

JP2008185805A|2007-01-30|2008-08-14|Internatl Business Mach Corp <Ibm>|Technology for creating high quality synthesis voice|

---

US20080186196A1|2007-02-01|2008-08-07|Sony Ericsson Mobile Communications Ab|Non-time based snooze|

---

US8447606B2|2007-02-06|2013-05-21|Nuance Communications Austria Gmbh|Method and system for creating or updating entries in a speech recognition lexicon|

---

WO2008098029A1|2007-02-06|2008-08-14|Vidoop, Llc.|System and method for authenticating a user to a computer system|

---

US7818176B2|2007-02-06|2010-10-19|Voicebox Technologies, Inc.|System and method for selecting and presenting advertisements based on natural language processing of voice-based input|

---

US20080195630A1|2007-02-13|2008-08-14|Amadeus S.A.S.|Web service interrogation method and apparatus|

---

US7912828B2|2007-02-23|2011-03-22|Apple Inc.|Pattern searching methods and apparatuses|

---

US7797265B2|2007-02-26|2010-09-14|Siemens Corporation|Document clustering that applies a locality sensitive hashing function to a feature vector to obtain a limited set of candidate clusters|

---

US7801728B2|2007-02-26|2010-09-21|Nuance Communications, Inc.|Document session replay for multimodal applications|

---

US7822608B2|2007-02-27|2010-10-26|Nuance Communications, Inc.|Disambiguating a speech recognition grammar in a multimodal application|

---

US7826872B2|2007-02-28|2010-11-02|Sony Ericsson Mobile Communications Ab|Audio nickname tag associated with PTT user|

---

US8362642B2|2007-03-01|2013-01-29|Rambus Inc.|Optimized power supply for an electronic system|

---

US8457959B2|2007-03-01|2013-06-04|Edward C. Kaiser|Systems and methods for implicitly interpreting semantically redundant communication modes|

---

US8521519B2|2007-03-02|2013-08-27|Panasonic Corporation|Adaptive audio signal source vector quantization device and adaptive audio signal source vector quantization method that search for pitch period based on variable resolution|

---

TWI321313B|2007-03-03|2010-03-01|Ind Tech Res Inst|Apparatus and method to reduce recognization errors through context relations among dialogue turns|

---

US8838457B2|2007-03-07|2014-09-16|Vlingo Corporation|Using results of unstructured language model based speech recognition to control a system-level function of a mobile communications facility|

---

SE530911C2|2007-03-07|2008-10-14|Hexaformer Ab|Transformer arrangement|

---

US8886545B2|2007-03-07|2014-11-11|Vlingo Corporation|Dealing with switch latency in speech recognition|

---

US20110060587A1|2007-03-07|2011-03-10|Phillips Michael S|Command and control utilizing ancillary information in a mobile voice-to-speech application|

---

US8886540B2|2007-03-07|2014-11-11|Vlingo Corporation|Using speech recognition results based on an unstructured language model in a mobile communication facility application|

---

US20080221884A1|2007-03-07|2008-09-11|Cerra Joseph P|Mobile environment speech processing facility|

---

US20110054894A1|2007-03-07|2011-03-03|Phillips Michael S|Speech recognition through the collection of contact information in mobile dictation application|

---

US20090030685A1|2007-03-07|2009-01-29|Cerra Joseph P|Using speech recognition results based on an unstructured language model with a navigation system|

---

US8949266B2|2007-03-07|2015-02-03|Vlingo Corporation|Multiple web-based content category searching in mobile search application|

---

US8635243B2|2007-03-07|2014-01-21|Research In Motion Limited|Sending a communications header with voice recording to send metadata for use in speech recognition, formatting, and search mobile search application|

---

US7801729B2|2007-03-13|2010-09-21|Sensory, Inc.|Using multiple attributes to create a voice search playlist|

---

JP4466666B2|2007-03-14|2010-05-26|日本電気株式会社|Minutes creation method, apparatus and program thereof|

---

US8219406B2|2007-03-15|2012-07-10|Microsoft Corporation|Speech-centric multimodal user interface design in mobile technology|

---

JP4836290B2|2007-03-20|2011-12-14|富士通株式会社|Speech recognition system, speech recognition program, and speech recognition method|

---

US8702433B2|2007-03-28|2014-04-22|Breakthrough Performancetech, Llc|Systems and methods for computerized interactive training|

---

US7797269B2|2007-03-29|2010-09-14|Nokia Corporation|Method and apparatus using a context sensitive dictionary|

---

WO2008126355A1|2007-03-29|2008-10-23|Panasonic Corporation|Keyword extracting device|

---

US8775931B2|2007-03-30|2014-07-08|Blackberry Limited|Spell check function that applies a preference to a spell check algorithm based upon extensive user selection of spell check results generated by the algorithm, and associated handheld electronic device|

---

US8977255B2|2007-04-03|2015-03-10|Apple Inc.|Method and system for operating a multi-function portable electronic device using voice-activation|

---

US7920902B2|2007-04-04|2011-04-05|Carroll David W|Mobile personal audio device|

---

US7809610B2|2007-04-09|2010-10-05|Platformation, Inc.|Methods and apparatus for freshness and completeness of information|

---

CN105117376B|2007-04-10|2018-07-10|谷歌有限责任公司|Multi-mode input method editor|

---

EP1981253B1|2007-04-10|2011-06-22|Oticon A/S|A user interface for a communications device|

---

WO2008125107A1|2007-04-16|2008-10-23|Gn Resound A/S|A hearing aid wireless communication adaptor|

---

US7848924B2|2007-04-17|2010-12-07|Nokia Corporation|Method, apparatus and computer program product for providing voice conversion using temporal dynamic features|

---

JP4412504B2|2007-04-17|2010-02-10|本田技研工業株式会社|Speech recognition apparatus, speech recognition method, and speech recognition program|

---

US8695074B2|2007-04-26|2014-04-08|Microsoft Corporation|Pre-authenticated calling for voice applications|

---

US8005664B2|2007-04-30|2011-08-23|Tachyon Technologies Pvt. Ltd.|System, method to generate transliteration and method for generating decision tree to obtain transliteration|

---

US7983915B2|2007-04-30|2011-07-19|Sonic Foundry, Inc.|Audio content search engine|

---

US7912289B2|2007-05-01|2011-03-22|Microsoft Corporation|Image text replacement|

---

US8032383B1|2007-05-04|2011-10-04|Foneweb, Inc.|Speech controlled services and devices using internet|

---

US7899666B2|2007-05-04|2011-03-01|Expert System S.P.A.|Method and system for automatically extracting relations between concepts included in text|

---

KR20090001716A|2007-05-14|2009-01-09|이병수|System for operating of growing intelligence form cyber secretary and method thereof|

---

US8886521B2|2007-05-17|2014-11-11|Redstart Systems, Inc.|System and method of dictation for a speech recognition command system|

---

US8538757B2|2007-05-17|2013-09-17|Redstart Systems, Inc.|System and method of a list commands utility for a speech recognition command system|

---

US8266173B1|2007-05-21|2012-09-11|Amazon Technologies, Inc.|Search results generation and sorting|

---

EG25474A|2007-05-21|2012-01-11|Sherikat Link Letatweer Elbarmaguey At Sae|Method for translitering and suggesting arabic replacement for a given user input|

---

WO2008146456A1|2007-05-28|2008-12-04|Panasonic Corporation|Information search support method and information search support device|

---

US20090027334A1|2007-06-01|2009-01-29|Cybernet Systems Corporation|Method for controlling a graphical user interface for touchscreen-enabled computer systems|

---

US8055708B2|2007-06-01|2011-11-08|Microsoft Corporation|Multimedia spaces|

---

US8204238B2|2007-06-08|2012-06-19|Sensory, Inc|Systems and methods of sonic communication|

---

WO2008151624A1|2007-06-13|2008-12-18|Widex A/S|Hearing aid system establishing a conversation group among hearing aids used by different users|

---

EP2153692B1|2007-06-13|2010-12-08|Widex A/S|A system and a method for establishing a conversation group among a number of hearing aids|

---

CN101779200B|2007-06-14|2013-03-20|谷歌股份有限公司|Dictionary word and phrase determination|

---

US9510044B1|2008-06-18|2016-11-29|Gracenote, Inc.|TV content segmentation, categorization and identification and time-aligned applications|

---

JP4970160B2|2007-06-22|2012-07-04|アルパイン株式会社|In-vehicle system and current location mark point guidance method|

---

US7987176B2|2007-06-25|2011-07-26|Sap Ag|Mixed initiative semantic search|

---

US8090621B1|2007-06-27|2012-01-03|Amazon Technologies, Inc.|Method and system for associating feedback with recommendation rules|

---

US7689421B2|2007-06-27|2010-03-30|Microsoft Corporation|Voice persona service for embedding text-to-speech features into software programs|

---

US8065624B2|2007-06-28|2011-11-22|Panasonic Corporation|Virtual keypad systems and methods|

---

US8260809B2|2007-06-28|2012-09-04|Microsoft Corporation|Voice-based search processing|

---

US8763058B2|2007-06-28|2014-06-24|Apple Inc.|Selective data downloading and presentation based on user interaction|

---

US9794605B2|2007-06-28|2017-10-17|Apple Inc.|Using time-stamped event entries to facilitate synchronizing data streams|

---

US8190627B2|2007-06-28|2012-05-29|Microsoft Corporation|Machine assisted query formulation|

---

US9632561B2|2007-06-28|2017-04-25|Apple Inc.|Power-gating media decoders to reduce power consumption|

---

US7861008B2|2007-06-28|2010-12-28|Apple Inc.|Media management and routing within an electronic device|

---

US8041438B2|2007-06-28|2011-10-18|Apple Inc.|Data-driven media management within an electronic device|

---

US8019606B2|2007-06-29|2011-09-13|Microsoft Corporation|Identification and selection of a software application via speech|

---

US7962344B2|2007-06-29|2011-06-14|Microsoft Corporation|Depicting a speech user interface via graphical elements|

---

US8290775B2|2007-06-29|2012-10-16|Microsoft Corporation|Pronunciation correction of text-to-speech systems between different spoken languages|

---

KR100930802B1|2007-06-29|2009-12-09|엔에이치엔|Browser control method and system using images|

---

JP4424382B2|2007-07-04|2010-03-03|ソニー株式会社|Content reproduction apparatus and content automatic reception method|

---

US7617074B2|2007-07-06|2009-11-10|Microsoft Corporation|Suppressing repeated events and storing diagnostic information|

---

US8219399B2|2007-07-11|2012-07-10|Garmin Switzerland Gmbh|Automated speech recognition tiling|

---

US20150046537A1|2007-11-21|2015-02-12|Vdoqwest, Inc., A Delaware Corporation|Retrieving video annotation metadata using a p2p network and copyright free indexes|

---

US8306235B2|2007-07-17|2012-11-06|Apple Inc.|Method and apparatus for using a sound sensor to adjust the audio output for a device|

---

DE102007033472A1|2007-07-18|2009-01-29|Siemens Ag|Method for speech recognition|

---

US7890493B2|2007-07-20|2011-02-15|Google Inc.|Translating a search query into multiple languages|

---

CN101354746B|2007-07-23|2011-08-31|夏普株式会社|Device and method for extracting character image|

---

AU2008201643B1|2007-07-24|2008-08-28|Rambrandt Messaging Technologies, LP|Messaging service in a wireless communications network|

---

ITFI20070177A1|2007-07-26|2009-01-27|Riccardo Vieri|SYSTEM FOR THE CREATION AND SETTING OF AN ADVERTISING CAMPAIGN DERIVING FROM THE INSERTION OF ADVERTISING MESSAGES WITHIN AN EXCHANGE OF MESSAGES AND METHOD FOR ITS FUNCTIONING.|

---

JP2009036999A|2007-08-01|2009-02-19|Infocom Corp|Interactive method using computer, interactive system, computer program and computer-readable storage medium|

---

US8914278B2|2007-08-01|2014-12-16|Ginger Software, Inc.|Automatic context sensitive language correction and enhancement using an internet corpus|

---

TW200907695A|2007-08-06|2009-02-16|jian-qiang Peng|System and method of fast opening network link service|

---

US9342496B2|2007-08-06|2016-05-17|Apple Inc.|Auto-completion of names|

---

US20090043583A1|2007-08-08|2009-02-12|International Business Machines Corporation|Dynamic modification of voice selection based on user specific factors|

---

US7983919B2|2007-08-09|2011-07-19|At&T Intellectual Property Ii, L.P.|System and method for performing speech synthesis with a cache of phoneme sequences|

---

US9250084B2|2007-08-10|2016-02-02|Cisco Technology, Inc.|System and method for navigating using multiple modalities|

---

US7983478B2|2007-08-10|2011-07-19|Microsoft Corporation|Hidden markov model based handwriting/calligraphy generation|

---

US8321222B2|2007-08-14|2012-11-27|Nuance Communications, Inc.|Synthesis by generation and concatenation of multi-form segments|

---

JP2009048245A|2007-08-14|2009-03-05|Konami Digital Entertainment:Kk|Input reception device, area control method and program|

---

US8478598B2|2007-08-17|2013-07-02|International Business Machines Corporation|Apparatus, system, and method for voice chat transcription|

---

US20090054046A1|2007-08-20|2009-02-26|Mobix Communication, Inc.|Method and apparatus for voice and internet programming of wireless device features|

---

KR101490687B1|2007-08-20|2015-02-06|삼성전자주식회사|Method and apparatus for sharing secret information between devices in home network|

---

JP4987623B2|2007-08-20|2012-07-25|株式会社東芝|Apparatus and method for interacting with user by voice|

---

US20090055187A1|2007-08-21|2009-02-26|Howard Leventhal|Conversion of text email or SMS message to speech spoken by animated avatar for hands-free reception of email and SMS messages while driving a vehicle|

---

US7788276B2|2007-08-22|2010-08-31|Yahoo! Inc.|Predictive stemming for web search with statistical machine translation models|

---

US8335829B1|2007-08-22|2012-12-18|Canyon IP Holdings, LLC|Facilitating presentation by mobile device of additional content for a word or phrase upon utterance thereof|

---

US8510109B2|2007-08-22|2013-08-13|Canyon Ip Holdings Llc|Continuous speech transcription performance indication|

---

US20090055186A1|2007-08-23|2009-02-26|International Business Machines Corporation|Method to voice id tag content to ease reading for visually impaired|

---

US7917355B2|2007-08-23|2011-03-29|Google Inc.|Word detection|

---

US7983902B2|2007-08-23|2011-07-19|Google Inc.|Domain dictionary creation by detection of new topic words using divergence value comparison|

---

KR101359715B1|2007-08-24|2014-02-10|삼성전자주식회사|Method and apparatus for providing mobile voice web|

---

US8126274B2|2007-08-30|2012-02-28|Microsoft Corporation|Visual language modeling for image classification|

---

US8190359B2|2007-08-31|2012-05-29|Proxpro, Inc.|Situation-aware personal information management for a mobile device|

---

JP2009060512A|2007-09-03|2009-03-19|Sharp Corp|Portable terminal, reproduction apparatus, content reproduction system, content reproduction program, computer readable recording medium, and control method of portable terminal|

---

US8683197B2|2007-09-04|2014-03-25|Apple Inc.|Method and apparatus for providing seamless resumption of video playback|

---

US8683378B2|2007-09-04|2014-03-25|Apple Inc.|Scrolling techniques for user interfaces|

---

US20090058823A1|2007-09-04|2009-03-05|Apple Inc.|Virtual Keyboards in Multi-Language Environment|

---

US8826132B2|2007-09-04|2014-09-02|Apple Inc.|Methods and systems for navigating content on a portable device|

---

US20090106397A1|2007-09-05|2009-04-23|O'keefe Sean Patrick|Method and apparatus for interactive content distribution|

---

US9812023B2|2007-09-10|2017-11-07|Excalibur Ip, Llc|Audible metadata|

---

US8352274B2|2007-09-11|2013-01-08|Panasonic Corporation|Sound determination device, sound detection device, and sound determination method for determining frequency signals of a to-be-extracted sound included in a mixed sound|

---

US20090070109A1|2007-09-12|2009-03-12|Microsoft Corporation|Speech-to-Text Transcription for Personal Communication Devices|

---

CN101388012B|2007-09-13|2012-05-30|阿里巴巴集团控股有限公司|Phonetic check system and method with easy confusion tone recognition|

---

US8661340B2|2007-09-13|2014-02-25|Apple Inc.|Input methods for device having multi-language environment|

---

US20090074214A1|2007-09-13|2009-03-19|Bionica Corporation|Assistive listening system with plug in enhancement platform and communication port to download user preferred processing algorithms|

---

US20090076825A1|2007-09-13|2009-03-19|Bionica Corporation|Method of enhancing sound for hearing impaired individuals|

---

US8171117B2|2007-09-14|2012-05-01|Ricoh Co. Ltd.|Workflow manager for a distributed system|

---

JP4990077B2|2007-09-14|2012-08-01|株式会社日立製作所|Navigation device|

---

KR100920267B1|2007-09-17|2009-10-05|한국전자통신연구원|System for voice communication analysis and method thereof|

---

US8706476B2|2007-09-18|2014-04-22|Ariadne Genomics, Inc.|Natural language processing method by analyzing primitive sentences, logical clauses, clause types and verbal blocks|

---

KR100919225B1|2007-09-19|2009-09-28|한국전자통신연구원|The method and apparatus for post-processing conversation error using multilevel check in voice conversation system|

---

US8583438B2|2007-09-20|2013-11-12|Microsoft Corporation|Unnatural prosody detection in speech synthesis|

---

AT509345T|2007-09-21|2011-05-15|Boeing Co|GIVEN VEHICLE CONTROL|

---

US8042053B2|2007-09-24|2011-10-18|Microsoft Corporation|Method for making digital documents browseable|

---

US8069051B2|2007-09-25|2011-11-29|Apple Inc.|Zero-gap playback using predictive mixing|

---

US20090083035A1|2007-09-25|2009-03-26|Ritchie Winson Huang|Text pre-processing for text-to-speech generation|

---

US7797305B2|2007-09-25|2010-09-14|International Business Machines Corporation|Method for intelligent consumer earcons|

---

US20090079622A1|2007-09-26|2009-03-26|Broadcom Corporation|Sharing of gps information between mobile devices|

---

WO2009041101A1|2007-09-28|2009-04-02|Nec Corporation|Method for classifying data and device for classifying data|

---

WO2009044509A1|2007-10-01|2009-04-09|Panasonic Corporation|Sounnd source direction detector|

---

US9053089B2|2007-10-02|2015-06-09|Apple Inc.|Part-of-speech tagging using latent analogy|

---

TWI360761B|2007-10-03|2012-03-21|Inventec Corp|An electronic apparatus and a method for automatic|

---

US8923491B2|2007-10-03|2014-12-30|At&T Intellectual Property I, L.P.|System and method for connecting to addresses received in spoken communications|

---

US8462959B2|2007-10-04|2013-06-11|Apple Inc.|Managing acoustic noise produced by a device|

---

US8515095B2|2007-10-04|2013-08-20|Apple Inc.|Reducing annoyance by managing the acoustic noise produced by a device|

---

US8165886B1|2007-10-04|2012-04-24|Great Northern Research LLC|Speech interface system and method for control and interaction with applications on a computing system|

---

US8595642B1|2007-10-04|2013-11-26|Great Northern Research, LLC|Multiple shell multi faceted graphical user interface|

---

US7995732B2|2007-10-04|2011-08-09|At&T Intellectual Property I, Lp|Managing audio in a multi-source audio environment|

---

US8036901B2|2007-10-05|2011-10-11|Sensory, Incorporated|Systems and methods of performing speech recognition using sensory inputs of human position|

---

IL186505D0|2007-10-08|2008-01-20|Excelang Ltd|Grammar checker|

---

US8655643B2|2007-10-09|2014-02-18|Language Analytics Llc|Method and system for adaptive transliteration|

---

US8139763B2|2007-10-10|2012-03-20|Spansion Llc|Randomized RSA-based cryptographic exponentiation resistant to side channel and fault attacks|

---

US20090097634A1|2007-10-16|2009-04-16|Ullas Balan Nambiar|Method and System for Call Processing|

---

US8594996B2|2007-10-17|2013-11-26|Evri Inc.|NLP-based entity recognition and disambiguation|

---

JP2009098490A|2007-10-18|2009-05-07|Kddi Corp|Device for editing speech recognition result, speech recognition device and computer program|

---

US8078978B2|2007-10-19|2011-12-13|Google Inc.|Method and system for predicting text|

---

US8209384B2|2007-10-23|2012-06-26|Yahoo! Inc.|Persistent group-based instant messaging|

---

US20090112677A1|2007-10-24|2009-04-30|Rhett Randolph L|Method for automatically developing suggested optimal work schedules from unsorted group and individual task lists|

---

US8606562B2|2007-10-25|2013-12-10|Blackberry Limited|Disambiguated text message retype function|

---

US8000972B2|2007-10-26|2011-08-16|Sony Corporation|Remote controller with speech recognition|

---

US8972268B2|2008-04-15|2015-03-03|Facebook, Inc.|Enhanced speech-to-speech translation system and methods for adding a new word|

---

US8280885B2|2007-10-29|2012-10-02|Cornell University|System and method for automatically summarizing fine-grained opinions in digital text|

---

US8566098B2|2007-10-30|2013-10-22|At&T Intellectual Property I, L.P.|System and method for improving synthesized speech interactions of a spoken dialog system|

---

JP2009110300A|2007-10-30|2009-05-21|Nippon Telegr & Teleph Corp <Ntt>|Information home appliance network control device, information home appliance network control system, information home appliance network control method, and program|

---

US20090112572A1|2007-10-30|2009-04-30|Karl Ola Thorn|System and method for input of text to an application operating on a device|

---

US7840447B2|2007-10-30|2010-11-23|Leonard Kleinrock|Pricing and auctioning of bundled items among multiple sellers and buyers|

---

US7834758B2|2007-10-31|2010-11-16|General Motors Llc|In-vehicle entertainment method and system for executing the same|

---

US7966171B2|2007-10-31|2011-06-21|At&T Intellectual Property Ii, L.P.|System and method for increasing accuracy of searches based on communities of interest|

---

US8010614B1|2007-11-01|2011-08-30|Bitdefender IPR Management Ltd.|Systems and methods for generating signatures for electronic communication classification|

---

US9063979B2|2007-11-01|2015-06-23|Ebay, Inc.|Analyzing event streams of user sessions|

---

US7983997B2|2007-11-02|2011-07-19|Florida Institute For Human And Machine Cognition, Inc.|Interactive complex task teaching system that allows for natural language input, recognizes a user's intent, and automatically performs tasks in document object model nodes|

---

CN101424973A|2007-11-02|2009-05-06|夏普株式会社|Input device|

---

US8055296B1|2007-11-06|2011-11-08|Sprint Communications Company L.P.|Head-up display communication system and method|

---

US8065152B2|2007-11-08|2011-11-22|Demand Media, Inc.|Platform for enabling voice commands to resolve phoneme based domain name registrations|

---

US20090125299A1|2007-11-09|2009-05-14|Jui-Chang Wang|Speech recognition system|

---

US20090125813A1|2007-11-09|2009-05-14|Zhongnan Shen|Method and system for processing multiple dialog sessions in parallel|

---

US20090192782A1|2008-01-28|2009-07-30|William Drewes|Method for increasing the accuracy of statistical machine translation |

---

DE102008051757A1|2007-11-12|2009-05-14|Volkswagen Ag|Multimodal user interface of a driver assistance system for entering and presenting information|

---

JP4926004B2|2007-11-12|2012-05-09|株式会社リコー|Document processing apparatus, document processing method, and document processing program|

---

US20090125602A1|2007-11-14|2009-05-14|International Business Machines Corporation|Automatic priority adjustment for incoming emails|

---

US7890525B2|2007-11-14|2011-02-15|International Business Machines Corporation|Foreign language abbreviation translation in an instant messaging system|

---

US8112280B2|2007-11-19|2012-02-07|Sensory, Inc.|Systems and methods of performing speech recognition with barge-in for use in a bluetooth system|

---

US8294669B2|2007-11-19|2012-10-23|Palo Alto Research Center Incorporated|Link target accuracy in touch-screen mobile devices by layout adjustment|

---

US8620662B2|2007-11-20|2013-12-31|Apple Inc.|Context-aware unit selection|

---

CN101448340B|2007-11-26|2011-12-07|联想有限公司|Mobile terminal state detection method and system and mobile terminal|

---

TWI373708B|2007-11-27|2012-10-01|Htc Corp|Power management method for handheld electronic device|

---

US8213999B2|2007-11-27|2012-07-03|Htc Corporation|Controlling method and system for handheld communication device and recording medium using the same|

---

US8190596B2|2007-11-28|2012-05-29|International Business Machines Corporation|Method for assembly of personalized enterprise information integrators over conjunctive queries|

---

EP2226746B1|2007-11-28|2012-01-11|Fujitsu Limited|Metallic pipe managed by wireless ic tag, and the wireless ic tag|

---

JP2009134409A|2007-11-29|2009-06-18|Sony Ericsson Mobilecommunications Japan Inc|Reminder device, reminder method, reminder program, and portable terminal device|

---

US7805286B2|2007-11-30|2010-09-28|Bose Corporation|System and method for sound system simulation|

---

EP2068537B1|2007-12-07|2011-07-13|Research In Motion Limited|System and method for event-dependent state activation for a mobile communication device|

---

US8543622B2|2007-12-07|2013-09-24|Patrick Giblin|Method and system for meta-tagging media content and distribution|

---

WO2009076474A2|2007-12-10|2009-06-18|Deluxe Digital Studios, Inc.|Method and system for use in coordinating multimedia devices|

---

JP5493267B2|2007-12-11|2014-05-14|大日本印刷株式会社|Product search device and product search method|

---

US8385588B2|2007-12-11|2013-02-26|Eastman Kodak Company|Recording audio metadata for stored images|

---

US8140335B2|2007-12-11|2012-03-20|Voicebox Technologies, Inc.|System and method for providing a natural language voice user interface in an integrated voice navigation services environment|

---

US8275607B2|2007-12-12|2012-09-25|Microsoft Corporation|Semi-supervised part-of-speech tagging|

---

US9767681B2|2007-12-12|2017-09-19|Apple Inc.|Handheld electronic devices with remote control functionality and gesture recognition|

---

US20090158423A1|2007-12-14|2009-06-18|Symbol Technologies, Inc.|Locking mobile device cradle|

---

US8161419B2|2007-12-17|2012-04-17|Smooth Productions Inc.|Integrated graphical user interface and system with focusing|

---

CA2709623A1|2007-12-17|2009-06-25|Samuel Palahnuk|Communications network system|

---

US8145196B2|2007-12-18|2012-03-27|Apple Inc.|Creation and management of voicemail greetings for mobile communication devices|

---

KR101300839B1|2007-12-18|2013-09-10|삼성전자주식회사|Voice query extension method and system|

---

US8595004B2|2007-12-18|2013-11-26|Nec Corporation|Pronunciation variation rule extraction apparatus, pronunciation variation rule extraction method, and pronunciation variation rule extraction program|

---

US8095680B2|2007-12-20|2012-01-10|Telefonaktiebolaget Lm Ericsson |Real-time network transport protocol interface method and apparatus|

---

US10002189B2|2007-12-20|2018-06-19|Apple Inc.|Method and apparatus for searching using an active ontology|

---

US8063879B2|2007-12-20|2011-11-22|Research In Motion Limited|Method and handheld electronic device including first input component and second touch sensitive input component|

---

US20090164937A1|2007-12-20|2009-06-25|Alden Alviar|Scroll Apparatus and Method for Manipulating Data on an Electronic Device Display|

---

US7769740B2|2007-12-21|2010-08-03|Yahoo! Inc.|Systems and methods of ranking attention|

---

US8675830B2|2007-12-21|2014-03-18|Bce Inc.|Method and apparatus for interrupting an active telephony session to deliver information to a subscriber|

---

JP5239328B2|2007-12-21|2013-07-17|ソニー株式会社|Information processing apparatus and touch motion recognition method|

---

US8019604B2|2007-12-21|2011-09-13|Motorola Mobility, Inc.|Method and apparatus for uniterm discovery and voice-to-voice search on mobile device|

---

US20090164301A1|2007-12-21|2009-06-25|Yahoo! Inc.|Targeted Ad System Using Metadata|

---

US8219407B1|2007-12-27|2012-07-10|Great Northern Research, LLC|Method for processing the output of a speech recognizer|

---

KR20090071077A|2007-12-27|2009-07-01|엘지전자 주식회사|Navigation apparatus and method for providing information of tbt|

---

US8583416B2|2007-12-27|2013-11-12|Fluential, Llc|Robust information extraction from utterances|

---

US20090172108A1|2007-12-28|2009-07-02|Surgo|Systems and methods for a telephone-accessible message communication system|

---

US8373549B2|2007-12-31|2013-02-12|Apple Inc.|Tactile feedback in an electronic device|

---

US9330720B2|2008-01-03|2016-05-03|Apple Inc.|Methods and apparatus for altering audio output signals|

---

US20090177966A1|2008-01-06|2009-07-09|Apple Inc.|Content Sheet for Media Player|

---

US8405621B2|2008-01-06|2013-03-26|Apple Inc.|Variable rate media playback methods for electronic devices with touch interfaces|

---

US7609179B2|2008-01-08|2009-10-27|International Business Machines Corporation|Method for compressed data with reduced dictionary sizes by coding value prefixes|

---

US20090204402A1|2008-01-09|2009-08-13|8 Figure, Llc|Method and apparatus for creating customized podcasts with multiple text-to-speech voices|

---

US8478578B2|2008-01-09|2013-07-02|Fluential, Llc|Mobile speech-to-speech interpretation system|

---

US8232973B2|2008-01-09|2012-07-31|Apple Inc.|Method, device, and graphical user interface providing word recommendations for text input|

---

JP5266761B2|2008-01-10|2013-08-21|日産自動車株式会社|Information guidance system and its recognition dictionary database update method|

---

WO2009087860A1|2008-01-10|2009-07-16|Brother Kogyo Kabushiki Kaisha|Voice interactive device and computer-readable medium containing voice interactive program|

---

US7870133B2|2008-01-14|2011-01-11|Infosys Technologies Ltd.|Method for semantic based storage and retrieval of information|

---

US10176827B2|2008-01-15|2019-01-08|Verint Americas Inc.|Active lab|

---

EP2081185B1|2008-01-16|2014-11-26|Nuance Communications, Inc.|Speech recognition on large lists using fragments|

---

US20090187950A1|2008-01-18|2009-07-23|At&T Knowledge Ventures, L.P.|Audible menu system|

---

US20090187577A1|2008-01-20|2009-07-23|Aviv Reznik| System and Method Providing Audio-on-Demand to a User's Personal Online Device as Part of an Online Audio Community|

---

ITPO20080002A1|2008-01-22|2009-07-23|Riccardo Vieri|SYSTEM AND METHOD FOR THE CONTEXTUAL ADVERTISING GENERATION DURING THE SENDING OF SMS, ITS DEVICE AND INTERFACE.|

---

JP2009177440A|2008-01-24|2009-08-06|Nec Corp|Mobile phone unit and control method thereof|

---

US8175882B2|2008-01-25|2012-05-08|International Business Machines Corporation|Method and system for accent correction|

---

US20120284015A1|2008-01-28|2012-11-08|William Drewes|Method for Increasing the Accuracy of Subject-Specific Statistical Machine Translation |

---

US8223988B2|2008-01-29|2012-07-17|Qualcomm Incorporated|Enhanced blind source separation algorithm for highly correlated mixtures|

---

CN101500041A|2008-01-30|2009-08-05|中兴通讯股份有限公司|Call control method and apparatus|

---

EP3846506A1|2008-01-30|2021-07-07|Google LLC|Notification of mobile device events|

---

CN101499156A|2008-01-31|2009-08-05|上海亿动信息技术有限公司|Advertisement issuance control method and apparatus based on multi-advertisement information issuing apparatus|

---

US7840581B2|2008-02-01|2010-11-23|Realnetworks, Inc.|Method and system for improving the quality of deep metadata associated with media content|

---

KR20090085376A|2008-02-04|2009-08-07|삼성전자주식회사|Service method and apparatus for using speech synthesis of text message|

---

US10269024B2|2008-02-08|2019-04-23|Outbrain Inc.|Systems and methods for identifying and measuring trends in consumer content demand within vertically associated websites and related content|

---

US8000956B2|2008-02-08|2011-08-16|Xerox Corporation|Semantic compatibility checking for automatic correction and discovery of named entities|

---

KR101334066B1|2008-02-11|2013-11-29|이점식|Self-evolving Artificial Intelligent cyber robot system and offer method|

---

US8195656B2|2008-02-13|2012-06-05|Yahoo, Inc.|Social network search|

---

US8099289B2|2008-02-13|2012-01-17|Sensory, Inc.|Voice interface and search for electronic devices including bluetooth headsets and remote systems|

---

US20090210391A1|2008-02-14|2009-08-20|Hall Stephen G|Method and system for automated search for, and retrieval and distribution of, information|

---

JP2009193457A|2008-02-15|2009-08-27|Oki Electric Ind Co Ltd|Information retrieval device, method and program|

---

US8165884B2|2008-02-15|2012-04-24|Microsoft Corporation|Layered prompting: self-calibrating instructional prompting for verbal interfaces|

---

JP2009193448A|2008-02-15|2009-08-27|Oki Electric Ind Co Ltd|Dialog system, method, and program|

---

JP2009193532A|2008-02-18|2009-08-27|Oki Electric Ind Co Ltd|Dialogue management device, method, and program, and consciousness extraction system|

---

EP2094032A1|2008-02-19|2009-08-26|Deutsche Thomson OHG|Audio signal, method and apparatus for encoding or transmitting the same and method and apparatus for processing the same|

---

CN101953176A|2008-02-20|2011-01-19|皇家飞利浦电子股份有限公司|Audio frequency apparatus and method of operation thereof|

---

US8065143B2|2008-02-22|2011-11-22|Apple Inc.|Providing text input using speech data and non-speech data|

---

US20090215466A1|2008-02-22|2009-08-27|Darcy Ahl|Mobile phone based system for disabling a cell phone while traveling|

---

US8706474B2|2008-02-23|2014-04-22|Fair Isaac Corporation|Translation of entity names based on source document publication date, and frequency and co-occurrence of the entity names|

---

US8015144B2|2008-02-26|2011-09-06|Microsoft Corporation|Learning transportation modes from raw GPS data|

---

JP4433061B2|2008-02-27|2010-03-17|株式会社デンソー|Driving support system|

---

JP2009205579A|2008-02-29|2009-09-10|Toshiba Corp|Speech translation device and program|

---

US9049255B2|2008-02-29|2015-06-02|Blackberry Limited|Visual event notification on a handheld communications device|

---

US20090221274A1|2008-02-29|2009-09-03|Venkatakrishnan Poornima|System, method and device for enabling alternative call handling routines for incoming calls|

---

EP2096840B1|2008-02-29|2012-07-04|Research In Motion Limited|Visual event notification on a handheld communications device|

---

US10185779B2|2008-03-03|2019-01-22|Oath Inc.|Mechanisms for content aggregation, syndication, sharing, and updating|

---

US8205157B2|2008-03-04|2012-06-19|Apple Inc.|Methods and graphical user interfaces for conducting searches on a portable multifunction device|

---

US8650507B2|2008-03-04|2014-02-11|Apple Inc.|Selecting of text using gestures|

---

US20090228897A1|2008-03-04|2009-09-10|Murray Frank H|Bidirectional Control of Media Players|

---

US8201109B2|2008-03-04|2012-06-12|Apple Inc.|Methods and graphical user interfaces for editing on a portable multifunction device|

---

US8289283B2|2008-03-04|2012-10-16|Apple Inc.|Language input interface on a device|

---

US20090228273A1|2008-03-05|2009-09-10|Microsoft Corporation|Handwriting-based user interface for correction of speech recognition errors|

---

US20090228439A1|2008-03-07|2009-09-10|Microsoft Corporation|Intent-aware search|

---

US8255224B2|2008-03-07|2012-08-28|Google Inc.|Voice recognition grammar selection based on context|

---

US8587402B2|2008-03-07|2013-11-19|Palm, Inc.|Context aware data processing in mobile computing device|

---

US8380512B2|2008-03-10|2013-02-19|Yahoo! Inc.|Navigation using a search engine and phonetic voice recognition|

---

US20090235280A1|2008-03-12|2009-09-17|Xerox Corporation|Event extraction system for electronic messages|

---

CA2717992C|2008-03-12|2018-01-16|E-Lane Systems Inc.|Speech understanding method and system|

---

US20090234655A1|2008-03-13|2009-09-17|Jason Kwon|Mobile electronic device with active speech recognition|

---

US20090235176A1|2008-03-14|2009-09-17|Madhavi Jayanthi|Social interaction system for facilitating display of current location of friends and location of businesses of interest|

---

US20090234638A1|2008-03-14|2009-09-17|Microsoft Corporation|Use of a Speech Grammar to Recognize Instant Message Input|

---

US7958136B1|2008-03-18|2011-06-07|Google Inc.|Systems and methods for identifying similar documents|

---

JP2009223840A|2008-03-19|2009-10-01|Fujitsu Ltd|Schedule management program, schedule management device and schedule management method|

---

CN101547396B|2008-03-24|2012-07-04|展讯通信（上海）有限公司|Method for quickly reporting position in emergency calling process|

---

US20090239552A1|2008-03-24|2009-09-24|Yahoo! Inc.|Location-based opportunistic recommendations|

---

CA2719301C|2008-03-25|2016-10-04|E-Lane Systems Inc.|Multi-participant, mixed-initiative voice interaction system|

---

EP2274895A1|2008-03-27|2011-01-19|Markport Limited|Processing of messaging service attributes in communication systems|

---

US20090248456A1|2008-03-28|2009-10-01|Passkey International, Inc.|Notifications and reports in a reservation system|

---

US8615388B2|2008-03-28|2013-12-24|Microsoft Corporation|Intra-language statistical machine translation|

---

US7472061B1|2008-03-31|2008-12-30|International Business Machines Corporation|Systems and methods for building a native language phoneme lexicon having native pronunciations of non-native words derived from non-native pronunciations|

---

EP2107553B1|2008-03-31|2011-05-18|Harman Becker Automotive Systems GmbH|Method for determining barge-in|

---

US8417298B2|2008-04-01|2013-04-09|Apple Inc.|Mounting structures for portable electronic devices|

---

US20090249198A1|2008-04-01|2009-10-01|Yahoo! Inc.|Techniques for input recogniton and completion|

---

US9094764B2|2008-04-02|2015-07-28|Plantronics, Inc.|Voice activity detection with capacitive touch sense|

---

US8312376B2|2008-04-03|2012-11-13|Microsoft Corporation|Bookmark interpretation service|

---

TWI446780B|2008-04-03|2014-07-21|Hon Hai Prec Ind Co Ltd|Communication apparatus and method|

---

US20090253457A1|2008-04-04|2009-10-08|Apple Inc.|Audio signal processing for certification enhancement in a handheld wireless communications device|

---

US8996376B2|2008-04-05|2015-03-31|Apple Inc.|Intelligent text-to-speech conversion|

---

US8140368B2|2008-04-07|2012-03-20|International Business Machines Corporation|Method and system for routing a task to an employee based on physical and emotional state|

---

KR101491581B1|2008-04-07|2015-02-24|삼성전자주식회사|Correction System for spelling error and method thereof|

---

KR101181785B1|2008-04-08|2012-09-11|가부시키가이샤 엔.티.티.도코모|Media process server apparatus and media process method therefor|

---

KR20090107365A|2008-04-08|2009-10-13|엘지전자 주식회사|Mobile terminal and its menu control method|

---

US8958848B2|2008-04-08|2015-02-17|Lg Electronics Inc.|Mobile terminal and menu control method thereof|

---

KR20090107364A|2008-04-08|2009-10-13|엘지전자 주식회사|Mobile terminal and its menu control method|

---

US8285737B1|2008-04-10|2012-10-09|Google Inc.|Selecting content for publication|

---

JP4656177B2|2008-04-14|2011-03-23|トヨタ自動車株式会社|Navigation device, operation unit display method|

---

US8370148B2|2008-04-14|2013-02-05|At&T Intellectual Property I, L.P.|System and method for answering a communication notification|

---

US7889101B2|2008-04-14|2011-02-15|Alpine Electronics, Inc|Method and apparatus for generating location based reminder message for navigation system|

---

WO2009129315A1|2008-04-15|2009-10-22|Mobile Technologies, Llc|System and methods for maintaining speech-to-speech translation in the field|

---

US8046222B2|2008-04-16|2011-10-25|Google Inc.|Segmenting words using scaled probabilities|

---

US20090265175A1|2008-04-16|2009-10-22|Broadcom Coropration|Method and system for providing a translation service for a voice channel|

---

US8490050B2|2008-04-17|2013-07-16|Microsoft Corporation|Automatic generation of user interfaces|

---

US8433778B1|2008-04-22|2013-04-30|Marvell International Ltd|Device configuration|

---

US8407049B2|2008-04-23|2013-03-26|Cogi, Inc.|Systems and methods for conversation enhancement|

---

US8666824B2|2008-04-23|2014-03-04|Dell Products L.P.|Digital media content location and purchasing system|

---

US8972432B2|2008-04-23|2015-03-03|Google Inc.|Machine translation using information retrieval|

---

US8249858B2|2008-04-24|2012-08-21|International Business Machines Corporation|Multilingual administration of enterprise data with default target languages|

---

US8594995B2|2008-04-24|2013-11-26|Nuance Communications, Inc.|Multilingual asynchronous communications of speech messages recorded in digital media files|

---

US8082148B2|2008-04-24|2011-12-20|Nuance Communications, Inc.|Testing a grammar used in speech recognition for reliability in a plurality of operating environments having different background noise|

---

US8121837B2|2008-04-24|2012-02-21|Nuance Communications, Inc.|Adjusting a speech engine for a mobile computing device based on background noise|

---

US8249857B2|2008-04-24|2012-08-21|International Business Machines Corporation|Multilingual administration of enterprise data with user selected target language translation|

---

US8194827B2|2008-04-29|2012-06-05|International Business Machines Corporation|Secure voice transaction method and system|

---

US8521512B2|2008-04-30|2013-08-27|Deep Sky Concepts, Inc|Systems and methods for natural language communication with a computer|

---

US8693698B2|2008-04-30|2014-04-08|Qualcomm Incorporated|Method and apparatus to reduce non-linear distortion in mobile computing devices|

---

US20090274376A1|2008-05-05|2009-11-05|Yahoo! Inc.|Method for efficiently building compact models for large multi-class text classification|

---

US8400405B2|2008-05-09|2013-03-19|Research In Motion Limited|Handheld electronic device and associated method enabling text input in a language employing non-roman characters|

---

US8254829B1|2008-05-09|2012-08-28|Sprint Communications Company L.P.|Network media service with track delivery adapted to a user cadence|

---

US8219115B1|2008-05-12|2012-07-10|Google Inc.|Location based reminders|

---

US8516562B2|2008-05-13|2013-08-20|Veritrix, Inc.|Multi-channel multi-factor authentication|

---

US9965035B2|2008-05-13|2018-05-08|Apple Inc.|Device, method, and graphical user interface for synchronizing two or more displays|

---

US8174503B2|2008-05-17|2012-05-08|David H. Cain|Touch-based authentication of a mobile device through user generated pattern creation|

---

US8131267B2|2008-05-19|2012-03-06|Tbm, Llc|Interactive voice access and retrieval of information|

---

DE102008024258A1|2008-05-20|2009-11-26|Siemens Aktiengesellschaft|A method for classifying and removing unwanted portions from a speech recognition utterance|

---

US10203861B2|2008-05-21|2019-02-12|Please Don't Go, LLC.|Messaging window overlay for a browser|

---

US8285344B2|2008-05-21|2012-10-09|DP Technlogies, Inc.|Method and apparatus for adjusting audio for a user environment|

---

US20090292674A1|2008-05-22|2009-11-26|Yahoo! Inc.|Parameterized search context interface|

---

US20090292987A1|2008-05-22|2009-11-26|International Business Machines Corporation|Formatting selected content of an electronic document based on analyzed formatting|

---

US9646025B2|2008-05-27|2017-05-09|Qualcomm Incorporated|Method and apparatus for aggregating and presenting data associated with geographic locations|

---

US8082498B2|2008-05-27|2011-12-20|Appfolio, Inc.|Systems and methods for automatic spell checking of dynamically generated web pages|

---

US9305548B2|2008-05-27|2016-04-05|Voicebox Technologies Corporation|System and method for an integrated, multi-modal, multi-device natural language voice services environment|

---

US8589161B2|2008-05-27|2013-11-19|Voicebox Technologies, Inc.|System and method for an integrated, multi-modal, multi-device natural language voice services environment|

---

US20130100268A1|2008-05-27|2013-04-25|University Health Network|Emergency detection and response system and method|

---

US20090326938A1|2008-05-28|2009-12-31|Nokia Corporation|Multiword text correction|

---

KR101462932B1|2008-05-28|2014-12-04|엘지전자 주식회사|Mobile terminal and text correction method|

---

US8473279B2|2008-05-30|2013-06-25|Eiman Al-Shammari|Lemmatizing, stemming, and query expansion method and system|

---

US8126435B2|2008-05-30|2012-02-28|Hewlett-Packard Development Company, L.P.|Techniques to manage vehicle communications|

---

US8694355B2|2008-05-30|2014-04-08|Sri International|Method and apparatus for automated assistance with task management|

---

US8233366B2|2008-06-02|2012-07-31|Apple Inc.|Context-based error indication methods and apparatus|

---

KR101631496B1|2008-06-03|2016-06-17|삼성전자주식회사|Robot apparatus and method for registrating contracted commander thereof|

---

US20090298529A1|2008-06-03|2009-12-03|Symbol Technologies, Inc.|Audio HTML : Audio Access to Web/Data|

---

JP5377889B2|2008-06-05|2013-12-25|日本放送協会|Language processing apparatus and program|

---

JP5136228B2|2008-06-05|2013-02-06|日本電気株式会社|Work environment automatic save and restore system, work environment auto save and restore method, and work environment auto save and restore program|

---

US8140326B2|2008-06-06|2012-03-20|Fuji Xerox Co., Ltd.|Systems and methods for reducing speech intelligibility while preserving environmental sounds|

---

US8831948B2|2008-06-06|2014-09-09|At&T Intellectual Property I, L.P.|System and method for synthetically generated speech describing media content|

---

TWM348993U|2008-06-06|2009-01-11|Ming-Ying Chen|Smart voice-controlled device to control home appliance with infrared controller|

---

US8180630B2|2008-06-06|2012-05-15|Zi Corporation Of Canada, Inc.|Systems and methods for an automated personalized dictionary generator for portable devices|

---

US8464150B2|2008-06-07|2013-06-11|Apple Inc.|Automatic language identification for dynamic text processing|

---

US9626363B2|2008-06-08|2017-04-18|Apple Inc.|System and method for placeshifting media playback|

---

WO2009152154A1|2008-06-09|2009-12-17|J.D. Power And Associates|Automatic sentiment analysis of surveys|

---

KR100988397B1|2008-06-09|2010-10-19|엘지전자 주식회사|Mobile terminal and text correcting method in the same|

---

US8219397B2|2008-06-10|2012-07-10|Nuance Communications, Inc.|Data processing system for autonomously building speech identification and tagging data|

---

EP2133772B1|2008-06-11|2011-03-09|ExB Asset Management GmbH|Device and method incorporating an improved text input mechanism|

---

US20090313564A1|2008-06-12|2009-12-17|Apple Inc.|Systems and methods for adjusting playback of media files based on previous usage|

---

KR101513615B1|2008-06-12|2015-04-20|엘지전자 주식회사|Mobile terminal and voice recognition method|

---

US8527876B2|2008-06-12|2013-09-03|Apple Inc.|System and methods for adjusting graphical representations of media files based on previous usage|

---

US20090313020A1|2008-06-12|2009-12-17|Nokia Corporation|Text-to-speech user interface control|

---

US8140330B2|2008-06-13|2012-03-20|Robert Bosch Gmbh|System and method for detecting repeated patterns in dialog systems|

---

US20090313023A1|2008-06-17|2009-12-17|Ralph Jones|Multilingual text-to-speech system|

---

DE102008028885A1|2008-06-18|2009-12-31|Epcos Ag|Method for tuning a resonance frequency of a piezoelectric component|

---

US20090319342A1|2008-06-19|2009-12-24|Wize, Inc.|System and method for aggregating and summarizing product/topic sentiment|

---

CA2727951A1|2008-06-19|2009-12-23|E-Lane Systems Inc.|Communication system with voice mail access and call by spelling functionality|

---

GB2462800A|2008-06-20|2010-02-24|New Voice Media Ltd|Monitoring a conversation between an agent and a customer and performing real time analytics on the audio signal for determining future handling of the call|

---

US9081590B2|2008-06-24|2015-07-14|Microsoft Technology Licensing, Llc|Multimodal input using scratchpad graphical user interface to edit speech text input with keyboard input|

---

WO2009156438A1|2008-06-24|2009-12-30|Llinxx|Method and system for entering an expression|

---

US8300801B2|2008-06-26|2012-10-30|Centurylink Intellectual Property Llc|System and method for telephone based noise cancellation|

---

US20110106736A1|2008-06-26|2011-05-05|Intuitive User Interfaces Ltd.|System and method for intuitive user interaction|

---

US8364481B2|2008-07-02|2013-01-29|Google Inc.|Speech recognition with parallel recognition tasks|

---

EP2311030A1|2008-07-03|2011-04-20|Mobiter Dicta Oy|Method and device for converting speech|

---

US20100005085A1|2008-07-03|2010-01-07|Oracle International Corporation|Creating relationship maps from enterprise application system data|

---

KR101059631B1|2008-07-04|2011-08-25|야후! 인크.|Translator with Automatic Input / Output Interface and Its Interfacing Method|

---

US8478592B2|2008-07-08|2013-07-02|Nuance Communications, Inc.|Enhancing media playback with speech recognition|

---

JP4710931B2|2008-07-09|2011-06-29|ソニー株式会社|Learning device, learning method, and program|

---

US8781833B2|2008-07-17|2014-07-15|Nuance Communications, Inc.|Speech recognition semantic classification training|

---

US8521761B2|2008-07-18|2013-08-27|Google Inc.|Transliteration for query expansion|

---

US8166019B1|2008-07-21|2012-04-24|Sprint Communications Company L.P.|Providing suggested actions in response to textual communications|

---

KR20100010860A|2008-07-23|2010-02-02|엘지전자 주식회사|Mobile terminal and event control method thereof|

---

JP5791861B2|2008-07-25|2015-10-07|シャープ株式会社|Information processing apparatus and information processing method|

---

US8818816B2|2008-07-30|2014-08-26|Mitsubishi Electric Corporation|Voice recognition device|

---

US20100030549A1|2008-07-31|2010-02-04|Lee Michael M|Mobile device having human language translation capability with positional feedback|

---

US8386485B2|2008-07-31|2013-02-26|George Mason Intellectual Properties, Inc.|Case-based framework for collaborative semantic search|

---

US8041848B2|2008-08-04|2011-10-18|Apple Inc.|Media processing method and device|

---

US8589149B2|2008-08-05|2013-11-19|Nuance Communications, Inc.|Probability-based approach to recognition of user-entered data|

---

US9317589B2|2008-08-07|2016-04-19|International Business Machines Corporation|Semantic search by means of word sense disambiguation using a lexicon|

---

JP4577428B2|2008-08-11|2010-11-10|ソニー株式会社|Display device, display method, and program|

---

US20110131038A1|2008-08-11|2011-06-02|Satoshi Oyaizu|Exception dictionary creating unit, exception dictionary creating method, and program therefor, as well as speech recognition unit and speech recognition method|

---

KR100998566B1|2008-08-11|2010-12-07|엘지전자 주식회사|Method And Apparatus Of Translating Language Using Voice Recognition|

---

US8170969B2|2008-08-13|2012-05-01|Siemens Aktiengesellschaft|Automated computation of semantic similarity of pairs of named entity phrases using electronic document corpora as background knowledge|

---

US8577683B2|2008-08-15|2013-11-05|Thomas Majchrowski & Associates, Inc.|Multipurpose media players|

---

US8805110B2|2008-08-19|2014-08-12|Digimarc Corporation|Methods and systems for content processing|

---

US8929877B2|2008-09-12|2015-01-06|Digimarc Corporation|Methods and systems for content processing|

---

US8520979B2|2008-08-19|2013-08-27|Digimarc Corporation|Methods and systems for content processing|

---

WO2010021368A1|2008-08-20|2010-02-25|日本電気株式会社|Language model creation device, language model creation method, voice recognition device, voice recognition method, program, and storage medium|

---

US20100050064A1|2008-08-22|2010-02-25|At & T Labs, Inc.|System and method for selecting a multimedia presentation to accompany text|

---

US8260619B1|2008-08-22|2012-09-04|Convergys Cmg Utah, Inc.|Method and system for creating natural language understanding grammars|

---

US8112269B2|2008-08-25|2012-02-07|Microsoft Corporation|Determining utility of a question|

---

US10680840B2|2008-08-28|2020-06-09|Lawrence A. Jonas|System for integrating multiple IM networks and social networking websites|

---

US8867779B2|2008-08-28|2014-10-21|Microsoft Corporation|Image tagging user interface|

---

US20110144901A1|2008-08-29|2011-06-16|Zhanyong Wang|Method for Playing Voice Guidance and Navigation Device Using the Same|

---

WO2010025460A1|2008-08-29|2010-03-04|O3 Technologies, Llc|System and method for speech-to-speech translation|

---

US20110238407A1|2009-08-31|2011-09-29|O3 Technologies, Llc|Systems and methods for speech-to-speech translation|

---

US8117136B2|2008-08-29|2012-02-14|Hewlett-Packard Development Company, L.P.|Relationship management on a mobile computing device|

---

US8442248B2|2008-09-03|2013-05-14|Starkey Laboratories, Inc.|Systems and methods for managing wireless communication links for hearing assistance devices|

---

CN101667424A|2008-09-04|2010-03-10|英业达股份有限公司|Speech translation system between Mandarin and various dialects and method thereof|

---

US8768702B2|2008-09-05|2014-07-01|Apple Inc.|Multi-tiered voice feedback in an electronic device|

---

US8341557B2|2008-09-05|2012-12-25|Apple Inc.|Portable touch screen device, method, and graphical user interface for providing workout support|

---

US8380959B2|2008-09-05|2013-02-19|Apple Inc.|Memory management system and method|

---

US20100063825A1|2008-09-05|2010-03-11|Apple Inc.|Systems and Methods for Memory Management and Crossfading in an Electronic Device|

---

US8098262B2|2008-09-05|2012-01-17|Apple Inc.|Arbitrary fractional pixel movement|

---

WO2010028169A2|2008-09-05|2010-03-11|Fotonauts, Inc.|Reverse tagging of images in system for managing and sharing digital images|

---

US8116749B2|2008-09-08|2012-02-14|Proctor Jr James Arthur|Protocol for anonymous wireless communication|

---

US8290971B2|2008-09-09|2012-10-16|Applied Systems, Inc.|Method and apparatus for remotely displaying a list by determining a quantity of data to send based on the list size and the display control size|

---

US8898568B2|2008-09-09|2014-11-25|Apple Inc.|Audio user interface|

---

JP2010066519A|2008-09-11|2010-03-25|Brother Ind Ltd|Voice interactive device, voice interactive method, and voice interactive program|

---

CN101673274A|2008-09-12|2010-03-17|深圳富泰宏精密工业有限公司|Film subtitle retrieval system and method|

---

US8259082B2|2008-09-12|2012-09-04|At&T Intellectual Property I, L.P.|Multimodal portable communication interface for accessing video content|

---

US8756519B2|2008-09-12|2014-06-17|Google Inc.|Techniques for sharing content on a web page|

---

US8239201B2|2008-09-13|2012-08-07|At&T Intellectual Property I, L.P.|System and method for audibly presenting selected text|

---

US20100071003A1|2008-09-14|2010-03-18|Modu Ltd.|Content personalization|

---

JP5213605B2|2008-09-17|2013-06-19|シャープ株式会社|COMMUNICATION DEVICE, INFORMATION PRESENTATION DEVICE, COMMUNICATION METHOD, PROGRAM, AND RECORDING MEDIUM|

---

US8335778B2|2008-09-17|2012-12-18|Oracle International Corporation|System and method for semantic search in an enterprise application|

---

US8775154B2|2008-09-18|2014-07-08|Xerox Corporation|Query translation through dictionary adaptation|

---

US8326622B2|2008-09-23|2012-12-04|International Business Machines Corporation|Dialog filtering for filling out a form|

---

US20100077350A1|2008-09-25|2010-03-25|Microsoft Corporation|Combining elements in presentation of content|

---

JP2010078979A|2008-09-26|2010-04-08|Nec Infrontia Corp|Voice recording device, recorded voice retrieval method, and program|

---

US8560371B2|2008-09-26|2013-10-15|Microsoft Corporation|Suggesting things to do during time slots in a schedule|

---

US8180641B2|2008-09-29|2012-05-15|Microsoft Corporation|Sequential speech recognition with two unequal ASR systems|

---

JP5520305B2|2008-09-29|2014-06-11|フィッシャー−ローズマウントシステムズ，インコーポレイテッド|How to set process control preferences|

---

US8583418B2|2008-09-29|2013-11-12|Apple Inc.|Systems and methods of detecting language and natural language strings for text to speech synthesis|

---

US20100082327A1|2008-09-29|2010-04-01|Apple Inc.|Systems and methods for mapping phonemes for text to speech synthesis|

---

US8352272B2|2008-09-29|2013-01-08|Apple Inc.|Systems and methods for text to speech synthesis|

---

US8355919B2|2008-09-29|2013-01-15|Apple Inc.|Systems and methods for text normalization for text to speech synthesis|

---

US20100082328A1|2008-09-29|2010-04-01|Apple Inc.|Systems and methods for speech preprocessing in text to speech synthesis|

---

US8396714B2|2008-09-29|2013-03-12|Apple Inc.|Systems and methods for concatenation of words in text to speech synthesis|

---

US8712776B2|2008-09-29|2014-04-29|Apple Inc.|Systems and methods for selective text to speech synthesis|

---

US8352268B2|2008-09-29|2013-01-08|Apple Inc.|Systems and methods for selective rate of speech and speech preferences for text to speech synthesis|

---

US8401178B2|2008-09-30|2013-03-19|Apple Inc.|Multiple microphone switching and configuration|

---

US20100079508A1|2008-09-30|2010-04-01|Andrew Hodge|Electronic devices with gaze detection capabilities|

---

US8798956B2|2008-09-30|2014-08-05|Apple Inc.|Method and apparatus for surface sensing input device|

---

US8411953B2|2008-09-30|2013-04-02|International Business Machines Corporation|Tagging images by determining a set of similar pre-tagged images and extracting prominent tags from that set|

---

US9077526B2|2008-09-30|2015-07-07|Apple Inc.|Method and system for ensuring sequential playback of digital media|

---

JP2010086230A|2008-09-30|2010-04-15|Sony Corp|Information processing apparatus, information processing method and program|

---

US8676904B2|2008-10-02|2014-03-18|Apple Inc.|Electronic devices with voice command and contextual data processing capabilities|

---

US20100255858A1|2008-10-02|2010-10-07|Juhasz Paul R|Dead Zone for Wireless Communication Device|

---

US8285545B2|2008-10-03|2012-10-09|Volkswagen Ag|Voice command acquisition system and method|

---

US9442648B2|2008-10-07|2016-09-13|Blackberry Limited|Portable electronic device and method of controlling same|

---

US9200913B2|2008-10-07|2015-12-01|Telecommunication Systems, Inc.|User interface for predictive traffic|

---

US8380497B2|2008-10-15|2013-02-19|Qualcomm Incorporated|Methods and apparatus for noise estimation|

---

US20100100080A1|2008-10-16|2010-04-22|Huculak John C|System and method for voice activation of surgical instruments|

---

US8539342B1|2008-10-16|2013-09-17|Adobe Systems Incorporated|Read-order inference via content sorting|

---

US8170961B2|2008-10-16|2012-05-01|At&T Intellectual Property I, L.P.|Text edit tracker that categorizes communications, determines distances between templates, codes templates in color, and uses a morphing score based on edits|

---

US8543913B2|2008-10-16|2013-09-24|International Business Machines Corporation|Identifying and using textual widgets|

---

US20100114887A1|2008-10-17|2010-05-06|Google Inc.|Textual Disambiguation Using Social Connections|

---

US20100131899A1|2008-10-17|2010-05-27|Darwin Ecosystem Llc|Scannable Cloud|

---

US8364487B2|2008-10-21|2013-01-29|Microsoft Corporation|Speech recognition system with display information|

---

US8670546B2|2008-10-22|2014-03-11|At&T Intellectual Property I, L.P.|Systems and methods for providing a personalized communication processing service|

---

US8190437B2|2008-10-24|2012-05-29|Nuance Communications, Inc.|Speaker verification methods and apparatus|

---

US8218397B2|2008-10-24|2012-07-10|Qualcomm Incorporated|Audio source proximity estimation using sensor array for noise reduction|

---

US8724829B2|2008-10-24|2014-05-13|Qualcomm Incorporated|Systems, methods, apparatus, and computer-readable media for coherence detection|

---

US8577685B2|2008-10-24|2013-11-05|At&T Intellectual Property I, L.P.|System and method for targeted advertising|

---

US8644488B2|2008-10-27|2014-02-04|Nuance Communications, Inc.|System and method for automatically generating adaptive interaction logs from customer interaction text|

---

US8645123B2|2008-10-27|2014-02-04|Microsoft Corporation|Image-based semantic distance|

---

US8412529B2|2008-10-29|2013-04-02|Verizon Patent And Licensing Inc.|Method and system for enhancing verbal communication sessions|

---

JP5230358B2|2008-10-31|2013-07-10|キヤノン株式会社|Information search device, information search method, program, and storage medium|

---

TWI487385B|2008-10-31|2015-06-01|Chi Mei Comm Systems Inc|Volume adjusting device and adjusting method of the same|

---

KR101543221B1|2008-10-31|2015-08-12|에스케이플래닛 주식회사|- Method Apparatus and System for Providing Muti User-Multi Service|

---

US8170966B1|2008-11-04|2012-05-01|Bitdefender IPR Management Ltd.|Dynamic streaming message clustering for rapid spam-wave detection|

---

US8788261B2|2008-11-04|2014-07-22|Saplo Ab|Method and system for analyzing text|

---

US8122094B1|2008-11-05|2012-02-21|Kotab Dominic M|Methods for performing an action relating to the scheduling of an event by performing one or more actions based on a response to a message|

---

US8122353B2|2008-11-07|2012-02-21|Yahoo! Inc.|Composing a message in an online textbox using a non-latin script|

---

KR20180019752A|2008-11-10|2018-02-26|구글 엘엘씨|Multisensory speech detection|

---

KR20100053149A|2008-11-12|2010-05-20|삼성전자주식회사|Apparatus and method for scheduling considering each attendees' context in mobile communicatiion terminal|

---

US8249870B2|2008-11-12|2012-08-21|Massachusetts Institute Of Technology|Semi-automatic speech transcription|

---

US8386261B2|2008-11-14|2013-02-26|Vocollect Healthcare Systems, Inc.|Training/coaching system for a voice-enabled work environment|

---

US8832319B2|2008-11-18|2014-09-09|Amazon Technologies, Inc.|Synchronization of digital content|

---

US8584031B2|2008-11-19|2013-11-12|Apple Inc.|Portable touch screen device, method, and graphical user interface for using emoji characters|

---

US8108214B2|2008-11-19|2012-01-31|Robert Bosch Gmbh|System and method for recognizing proper names in dialog systems|

---

US20100127854A1|2008-11-21|2010-05-27|Richard Eric Helvick|Method and system for controlling home appliances based on estimated time of arrival|

---

US8296124B1|2008-11-21|2012-10-23|Google Inc.|Method and apparatus for detecting incorrectly translated text in a document|

---

US9202455B2|2008-11-24|2015-12-01|Qualcomm Incorporated|Systems, methods, apparatus, and computer program products for enhanced active noise cancellation|

---

US20100128701A1|2008-11-24|2010-05-27|Qualcomm Incorporated|Beacon transmission for participation in peer-to-peer formation and discovery|

---

US20100131265A1|2008-11-25|2010-05-27|Nokia Corporation|Method, Apparatus and Computer Program Product for Providing Context Aware Queries in a Network|

---

US20100131498A1|2008-11-26|2010-05-27|General Electric Company|Automated healthcare information composition and query enhancement|

---

US8442824B2|2008-11-26|2013-05-14|Nuance Communications, Inc.|Device, system, and method of liveness detection utilizing voice biometrics|

---

US8140328B2|2008-12-01|2012-03-20|At&T Intellectual Property I, L.P.|User intention based on N-best list of recognition hypotheses for utterances in a dialog|

---

US20100138680A1|2008-12-02|2010-06-03|At&T Mobility Ii Llc|Automatic display and voice command activation with hand edge sensing|

---

US8489599B2|2008-12-02|2013-07-16|Palo Alto Research Center Incorporated|Context and activity-driven content delivery and interaction|

---

US8117036B2|2008-12-03|2012-02-14|At&T Intellectual Property I, L.P.|Non-disruptive side conversation information retrieval|

---

US8073693B2|2008-12-04|2011-12-06|At&T Intellectual Property I, L.P.|System and method for pronunciation modeling|

---

US8589157B2|2008-12-05|2013-11-19|Microsoft Corporation|Replying to text messages via automated voice search techniques|

---

JP5257311B2|2008-12-05|2013-08-07|ソニー株式会社|Information processing apparatus and information processing method|

---

US8054180B1|2008-12-08|2011-11-08|Amazon Technologies, Inc.|Location aware reminders|

---

US20100185949A1|2008-12-09|2010-07-22|Denny Jaeger|Method for using gesture objects for computer control|

---

EP2196989B1|2008-12-10|2012-06-27|Nuance Communications, Inc.|Grammar and template-based speech recognition of spoken utterances|

---

US9959870B2|2008-12-11|2018-05-01|Apple Inc.|Speech recognition involving a mobile device|

---

US20100153448A1|2008-12-12|2010-06-17|International Business Machines Corporation|Persistent search notification|

---

US8121842B2|2008-12-12|2012-02-21|Microsoft Corporation|Audio output of a document from mobile device|

---

US8208609B2|2008-12-15|2012-06-26|Centurylink Intellectual Property Llc|System and method for voice activated dialing from a home phone|

---

US8160881B2|2008-12-15|2012-04-17|Microsoft Corporation|Human-assisted pronunciation generation|

---

DE112009003645B4|2008-12-16|2014-05-15|Mitsubishi Electric Corporation|navigation device|

---

US8799495B2|2008-12-17|2014-08-05|At&T Intellectual Property I, Lp|Multiple devices multimedia control|

---

US8447588B2|2008-12-18|2013-05-21|Palo Alto Research Center Incorporated|Region-matching transducers for natural language processing|

---

US9323854B2|2008-12-19|2016-04-26|Intel Corporation|Method, apparatus and system for location assisted translation|

---

JP5329939B2|2008-12-19|2013-10-30|Ｋｄｄｉ株式会社|Context search method and apparatus|

---

US8068604B2|2008-12-19|2011-11-29|Computer Product Introductions Corporation|Method and system for event notifications|

---

CA2747746C|2008-12-22|2015-08-11|Google Inc.|Asynchronous distributed de-duplication for replicated content addressable storage clusters|

---

US8635068B2|2008-12-23|2014-01-21|At&T Intellectual Property I, L.P.|System and method for recognizing speech with dialect grammars|

---

JP5326892B2|2008-12-26|2013-10-30|富士通株式会社|Information processing apparatus, program, and method for generating acoustic model|

---

WO2010075623A1|2008-12-31|2010-07-08|Bce Inc.|System and method for unlocking a device|

---

US8456420B2|2008-12-31|2013-06-04|Intel Corporation|Audible list traversal|

---

US8447609B2|2008-12-31|2013-05-21|Intel Corporation|Adjustment of temporal acoustical characteristics|

---

KR101543326B1|2009-01-05|2015-08-10|삼성전자주식회사|System on chip and driving method thereof|

---

EP2205010A1|2009-01-06|2010-07-07|BRITISH TELECOMMUNICATIONS public limited company|Messaging|

---

TW201027515A|2009-01-06|2010-07-16|High Tech Comp Corp|Electronic event-recording device and method thereof|

---

US8332205B2|2009-01-09|2012-12-11|Microsoft Corporation|Mining transliterations for out-of-vocabulary query terms|

---

US20100180218A1|2009-01-15|2010-07-15|International Business Machines Corporation|Editing metadata in a social network|

---

US10088976B2|2009-01-15|2018-10-02|Em Acquisition Corp., Inc.|Systems and methods for multiple voice document narration|

---

US8364488B2|2009-01-15|2013-01-29|K-Nfb Reading Technology, Inc.|Voice models for document narration|

---

US8868430B2|2009-01-16|2014-10-21|Sony Corporation|Methods, devices, and computer program products for providing real-time language translation capabilities between communication terminals|

---

JP2010166478A|2009-01-19|2010-07-29|Hitachi Kokusai Electric Inc|Radio communication terminal|

---

EP2211336B1|2009-01-23|2014-10-08|Harman Becker Automotive Systems GmbH|Improved speech input using navigation information|

---

US8213911B2|2009-01-28|2012-07-03|Virtual Hold Technology Llc|Mobile communication device for establishing automated call back|

---

US8200489B1|2009-01-29|2012-06-12|The United States Of America As Represented By The Secretary Of The Navy|Multi-resolution hidden markov model using class specific features|

---

US9070282B2|2009-01-30|2015-06-30|Altorr Corp.|Smartphone control of electrical devices|

---

US8463806B2|2009-01-30|2013-06-11|Lexisnexis|Methods and systems for creating and using an adaptive thesaurus|

---

US8862252B2|2009-01-30|2014-10-14|Apple Inc.|Audio user interface for displayless electronic device|

---

US20100197359A1|2009-01-30|2010-08-05|Harris Technology, Llc|Automatic Detection of Wireless Phone|

---

US20110307491A1|2009-02-04|2011-12-15|Fisk Charles M|Digital photo organizing and tagging method|

---

US9489131B2|2009-02-05|2016-11-08|Apple Inc.|Method of presenting a web page for accessibility browsing|

---

US20100205628A1|2009-02-12|2010-08-12|Davis Bruce L|Media processing methods and arrangements|

---

US8254972B2|2009-02-13|2012-08-28|Sony Mobile Communications Ab|Device and method for handling messages|

---

US8428758B2|2009-02-16|2013-04-23|Apple Inc.|Dynamic audio ducking|

---

US8032602B2|2009-02-18|2011-10-04|International Business Machines Corporation|Prioritization of recipient email messages|

---

US20110035662A1|2009-02-18|2011-02-10|King Martin T|Interacting with rendered documents using a multi-function mobile device, such as a mobile phone|

---

US8326637B2|2009-02-20|2012-12-04|Voicebox Technologies, Inc.|System and method for processing multi-modal device interactions in a natural language voice services environment|

---

CA2753576A1|2009-02-25|2010-09-02|Miri Systems, Llc|Payment system and method|

---

AT544291T|2009-02-27|2012-02-15|Research In Motion Ltd|MOBILE RADIO COMMUNICATION DEVICE WITH LANGUAGE TEXT CONVERSION AND RELATED METHODS|

---

US9280971B2|2009-02-27|2016-03-08|Blackberry Limited|Mobile wireless communications device with speech to text conversion and related methods|

---

US8155630B2|2009-02-27|2012-04-10|Research In Motion Limited|Communications system providing mobile device notification based upon personal interest information and calendar events|

---

US9646603B2|2009-02-27|2017-05-09|Longsand Limited|Various apparatus and methods for a speech recognition system|

---

US20100223131A1|2009-02-27|2010-09-02|Research In Motion Limited|Communications system providing mobile device notification based upon contact web pages and related methods|

---

US8280434B2|2009-02-27|2012-10-02|Research In Motion Limited|Mobile wireless communications device for hearing and/or speech impaired user|

---

KR101041039B1|2009-02-27|2011-06-14|고려대학교 산학협력단|Method and Apparatus for space-time voice activity detection using audio and video information|

---

US9171284B2|2009-03-02|2015-10-27|Microsoft Technology Licensing, Llc|Techniques to restore communications sessions for applications having conversation and meeting environments|

---

US8239333B2|2009-03-03|2012-08-07|Microsoft Corporation|Media tag recommendation technologies|

---

US20100229100A1|2009-03-03|2010-09-09|Sprint Spectrum L.P.|Methods and Systems for Storing and Accessing Application History|

---

CN102341843B|2009-03-03|2014-01-29|三菱电机株式会社|Voice recognition device|

---

US8805439B2|2009-03-05|2014-08-12|Lg Electronics Inc.|Mobile terminal and method for controlling the same|

---

JP2010205111A|2009-03-05|2010-09-16|Nippon Telegr & Teleph Corp <Ntt>|System, and method for reproducing context, first terminal device, second terminal device, context obtaining device or storage device, program thereof|

---

JP5138810B2|2009-03-06|2013-02-06|シャープ株式会社|Bookmark using device, bookmark creating device, bookmark sharing system, control method, control program, and recording medium|

---

US8605039B2|2009-03-06|2013-12-10|Zimpl Ab|Text input|

---

US20100225809A1|2009-03-09|2010-09-09|Sony Corporation And Sony Electronics Inc.|Electronic book with enhanced features|

---

US8380507B2|2009-03-09|2013-02-19|Apple Inc.|Systems and methods for determining the language to use for speech generated by a text to speech engine|

---

US8165321B2|2009-03-10|2012-04-24|Apple Inc.|Intelligent clip mixing|

---

CN101833286A|2009-03-13|2010-09-15|王俊锋|Intelligent home controller|

---

US8417526B2|2009-03-13|2013-04-09|Adacel, Inc.|Speech recognition learning system and method|

---

US8286106B2|2009-03-13|2012-10-09|Oracle America, Inc.|System and method for interacting with status information on a touch screen device|

---

US8756534B2|2009-03-16|2014-06-17|Apple Inc.|Methods and graphical user interfaces for editing on a multifunction device with a touch screen display|

---

US20100235780A1|2009-03-16|2010-09-16|Westerman Wayne C|System and Method for Identifying Words Based on a Sequence of Keyboard Events|

---

CN101515952B|2009-03-18|2011-04-27|南京邮电大学|Multi-sensor mobile phone|

---

JP5362095B2|2009-03-19|2013-12-11|グーグル・インコーポレーテッド|Input method editor|

---

JP2010224194A|2009-03-23|2010-10-07|Sony Corp|Speech recognition device and speech recognition method, language model generating device and language model generating method, and computer program|

---

JP5419136B2|2009-03-24|2014-02-19|アルパイン株式会社|Audio output device|

---

KR101078864B1|2009-03-26|2011-11-02|한국과학기술원|The query/document topic category transition analysis system and method and the query expansion based information retrieval system and method|

---

US20100250599A1|2009-03-30|2010-09-30|Nokia Corporation|Method and apparatus for integration of community-provided place data|

---

GB0905457D0|2009-03-30|2009-05-13|Touchtype Ltd|System and method for inputting text into electronic devices|

---

US9189472B2|2009-03-30|2015-11-17|Touchtype Limited|System and method for inputting text into small screen devices|

---

US10191654B2|2009-03-30|2019-01-29|Touchtype Limited|System and method for inputting text into electronic devices|

---

US9424246B2|2009-03-30|2016-08-23|Touchtype Ltd.|System and method for inputting text into electronic devices|

---

US8798255B2|2009-03-31|2014-08-05|Nice Systems Ltd|Methods and apparatus for deep interaction analysis|

---

US8539382B2|2009-04-03|2013-09-17|Palm, Inc.|Preventing unintentional activation and/or input in an electronic device|

---

US20100263015A1|2009-04-09|2010-10-14|Verizon Patent And Licensing Inc.|Wireless Interface for Set Top Box|

---

US8166032B2|2009-04-09|2012-04-24|MarketChorus, Inc.|System and method for sentiment-based text classification and relevancy ranking|

---

US8805823B2|2009-04-14|2014-08-12|Sri International|Content processing systems and methods|

---

KR101537706B1|2009-04-16|2015-07-20|엘지전자 주식회사|Mobile terminal and control method thereof|

---

US8209174B2|2009-04-17|2012-06-26|Saudi Arabian Oil Company|Speaker verification system|

---

US20110065456A1|2009-04-20|2011-03-17|Brennan Joseph P|Cellular device deactivation system|

---

US9761219B2|2009-04-21|2017-09-12|Creative Technology Ltd|System and method for distributed text-to-speech synthesis and intelligibility|

---

US8660970B1|2009-04-23|2014-02-25|The Boeing Company|Passive learning and autonomously interactive system for leveraging user knowledge in networked environments|

---

CN102405463B|2009-04-30|2015-07-29|三星电子株式会社|Utilize the user view reasoning device and method of multi-modal information|

---

KR101032792B1|2009-04-30|2011-05-06|주식회사 코오롱|Polyester fabric for airbag and manufacturing method thereof|

---

KR101581883B1|2009-04-30|2016-01-11|삼성전자주식회사|Appratus for detecting voice using motion information and method thereof|

---

JP2012526497A|2009-05-08|2012-10-25|オービーディーエッジ，エルエルシー|System, method and apparatus for controlling and monitoring the use of mobile devices by vehicle operators based on policies|

---

US9298823B2|2009-05-08|2016-03-29|International Business Machines Corporation|Identifying core content based on citations|

---

WO2010131256A1|2009-05-13|2010-11-18|Rajesh Mehra|A keyboard for linguistic scripts|

---

US20100293460A1|2009-05-14|2010-11-18|Budelli Joe G|Text selection method and system based on gestures|

---

US8583511B2|2009-05-19|2013-11-12|Bradley Marshall Hendrickson|Systems and methods for storing customer purchasing and preference data and enabling a customer to pre-register orders and events|

---

US8498857B2|2009-05-19|2013-07-30|Tata Consultancy Services Limited|System and method for rapid prototyping of existing speech recognition solutions in different languages|

---

KR101577607B1|2009-05-22|2015-12-15|삼성전자주식회사|Apparatus and method for language expression using context and intent awareness|

---

WO2010138775A1|2009-05-27|2010-12-02|Geodelic, Inc.|Location discovery system and method|

---

US8577543B2|2009-05-28|2013-11-05|Intelligent Mechatronic Systems Inc.|Communication system with personal information management and remote vehicle monitoring and control features|

---

US8369822B2|2009-05-28|2013-02-05|At&T Intellectual Property I, Lp|Systems and methods for providing emergency callback procedures|

---

US20150294377A1|2009-05-30|2015-10-15|Edmond K. Chow|Trust network effect|

---

US20120310652A1|2009-06-01|2012-12-06|O'sullivan Daniel|Adaptive Human Computer Interface |

---

US8095119B2|2009-06-02|2012-01-10|Microsoft Corporation|In-call contact information display|

---

EP2259252B1|2009-06-02|2012-08-01|Nuance Communications, Inc.|Speech recognition method for selecting a combination of list elements via a speech input|

---

US10241752B2|2011-09-30|2019-03-26|Apple Inc.|Interface for a virtual digital assistant|

---

US10540976B2|2009-06-05|2020-01-21|Apple Inc.|Contextual voice commands|

---

EP3392876A1|2011-09-30|2018-10-24|Apple Inc.|Using context information to facilitate processing of commands in a virtual assistant|

---

US9858925B2|2009-06-05|2018-01-02|Apple Inc.|Using context information to facilitate processing of commands in a virtual assistant|

---

US20120327009A1|2009-06-07|2012-12-27|Apple Inc.|Devices, methods, and graphical user interfaces for accessibility using a touch-sensitive surface|

---

KR101562792B1|2009-06-10|2015-10-23|삼성전자주식회사|Apparatus and method for providing goal predictive interface|

---

US8412531B2|2009-06-10|2013-04-02|Microsoft Corporation|Touch anywhere to speak|

---

JP2010287063A|2009-06-11|2010-12-24|Zenrin Datacom Co Ltd|Information provision device, information provision system and program|

---

US20100317371A1|2009-06-12|2010-12-16|Westerinen William J|Context-based interaction model for mobile devices|

---

US8484027B1|2009-06-12|2013-07-09|Skyreader Media Inc.|Method for live remote narration of a digital book|

---

US20130219333A1|2009-06-12|2013-08-22|Adobe Systems Incorporated|Extensible Framework for Facilitating Interaction with Devices|

---

US8290777B1|2009-06-12|2012-10-16|Amazon Technologies, Inc.|Synchronizing the playing and displaying of digital content|

---

US8306238B2|2009-06-17|2012-11-06|Sony Ericsson Mobile Communications Ab|Method and circuit for controlling an output of an audio signal of a battery-powered device|

---

US8533622B2|2009-06-17|2013-09-10|Microsoft Corporation|Integrating digital book and zoom interface displays|

---

US20100324709A1|2009-06-22|2010-12-23|Tree Of Life Publishing|E-book reader with voice annotation|

---

US9215212B2|2009-06-22|2015-12-15|Citrix Systems, Inc.|Systems and methods for providing a visualizer for rules of an application firewall|

---

US10353967B2|2009-06-22|2019-07-16|Microsoft Technology Licensing, Llc|Assigning relevance weights based on temporal dynamics|

---

US20100330909A1|2009-06-25|2010-12-30|Blueant Wireless Pty Limited|Voice-enabled walk-through pairing of telecommunications devices|

---

US20100332236A1|2009-06-25|2010-12-30|Blueant Wireless Pty Limited|Voice-triggered operation of electronic devices|

---

US11012732B2|2009-06-25|2021-05-18|DISH Technologies L.L.C.|Voice enabled media presentation systems and methods|

---

US8219930B2|2009-06-26|2012-07-10|Verizon Patent And Licensing Inc.|Radial menu display systems and methods|

---

US8983640B2|2009-06-26|2015-03-17|Intel Corporation|Controlling audio players using environmental audio analysis|

---

US9754224B2|2009-06-26|2017-09-05|International Business Machines Corporation|Action based to-do list|

---

US8527278B2|2009-06-29|2013-09-03|Abraham Ben David|Intelligent home automation|

---

US20100332224A1|2009-06-30|2010-12-30|Nokia Corporation|Method and apparatus for converting text to audio and tactile output|

---

US9431006B2|2009-07-02|2016-08-30|Apple Inc.|Methods and apparatuses for automatic speech recognition|

---

US8700399B2|2009-07-06|2014-04-15|Sensory, Inc.|Systems and methods for hands-free voice control and voice search|

---

US20110002487A1|2009-07-06|2011-01-06|Apple Inc.|Audio Channel Assignment for Audio Output in a Movable Device|

---

US8943423B2|2009-07-07|2015-01-27|International Business Machines Corporation|User interface indicators for changed user interface elements|

---

KR101083540B1|2009-07-08|2011-11-14|엔에이치엔|System and method for transforming vernacular pronunciation with respect to hanja using statistical method|

---

US8344847B2|2009-07-09|2013-01-01|Medtronic Minimed, Inc.|Coordination of control commands in a medical device system having at least one therapy delivery device and at least one wireless controller device|

---

US8588378B2|2009-07-15|2013-11-19|Google Inc.|Highlighting of voice message transcripts|

---

US8892439B2|2009-07-15|2014-11-18|Microsoft Corporation|Combination and federation of local and remote speech recognition|

---

US20110016421A1|2009-07-20|2011-01-20|Microsoft Corporation|Task oriented user interface platform|

---

US20110016150A1|2009-07-20|2011-01-20|Engstroem Jimmy|System and method for tagging multiple digital images|

---

US8213962B2|2009-07-21|2012-07-03|Verizon Patent And Licensing Inc.|Vehicle computer link to mobile phone|

---

US7953679B2|2009-07-22|2011-05-31|Xerox Corporation|Scalable indexing for layout based document retrieval and ranking|

---

CA2761700C|2009-07-24|2014-12-02|Research In Motion Limited|Method and apparatus for a touch-sensitive display|

---

US9117448B2|2009-07-27|2015-08-25|Cisco Technology, Inc.|Method and system for speech recognition using social networks|

---

US8239129B2|2009-07-27|2012-08-07|Robert Bosch Gmbh|Method and system for improving speech recognition accuracy by use of geographic information|

---

US9489577B2|2009-07-27|2016-11-08|Cxense Asa|Visual similarity for video content|

---

US20110029616A1|2009-07-29|2011-02-03|Guanming Wang|Unified auto-reply to an email coming from unified messaging service|

---

US8875219B2|2009-07-30|2014-10-28|Blackberry Limited|Apparatus and method for controlled sharing of personal information|

---

JP2011033874A|2009-08-03|2011-02-17|Alpine Electronics Inc|Device for multilingual voice recognition, multilingual voice recognition dictionary creation method|

---

US8340312B2|2009-08-04|2012-12-25|Apple Inc.|Differential mode noise cancellation with active real-time control for microphone-speaker combinations used in two way audio communications|

---

US8160877B1|2009-08-06|2012-04-17|Narus, Inc.|Hierarchical real-time speaker recognition for biometric VoIP verification and targeting|

---

US20110047072A1|2009-08-07|2011-02-24|Visa U.S.A. Inc.|Systems and Methods for Propensity Analysis and Validation|

---

US8233919B2|2009-08-09|2012-07-31|Hntb Holdings Ltd.|Intelligently providing user-specific transportation-related information|

---

JP5201599B2|2009-08-11|2013-06-05|Ｎｅｃカシオモバイルコミュニケーションズ株式会社|Terminal device and program|

---

US20110040707A1|2009-08-12|2011-02-17|Ford Global Technologies, Llc|Intelligent music selection in vehicles|

---

US8768313B2|2009-08-17|2014-07-01|Digimarc Corporation|Methods and systems for image or audio recognition processing|

---

US8626133B2|2009-08-19|2014-01-07|Cisco Technology, Inc.|Matching a location of a contact with a task location|

---

US8654952B2|2009-08-20|2014-02-18|T-Mobile Usa, Inc.|Shareable applications on telecommunications devices|

---

EP2341450A1|2009-08-21|2011-07-06|Mikko Kalervo Väänänen|Method and means for data searching and language translation|

---

KR101496649B1|2009-08-21|2015-03-02|삼성전자주식회사|Method and apparatus for sharing fuction of external device|

---

US9277021B2|2009-08-21|2016-03-01|Avaya Inc.|Sending a user associated telecommunication address|

---

JP2011045005A|2009-08-24|2011-03-03|Fujitsu Toshiba Mobile Communications Ltd|Cellular phone|

---

EP2471064A4|2009-08-25|2014-01-08|Univ Nanyang Tech|A method and system for reconstructing speech from an input signal comprising whispers|

---

US20110054647A1|2009-08-26|2011-03-03|Nokia Corporation|Network service for an audio interface unit|

---

JP2011048671A|2009-08-27|2011-03-10|Kyocera Corp|Input device and control method of input device|

---

CN101996631B|2009-08-28|2014-12-03|国际商业机器公司|Method and device for aligning texts|

---

US10366336B2|2009-09-02|2019-07-30|Sri International|Method and apparatus for exploiting human feedback in an intelligent automated assistant|

---

US8451238B2|2009-09-02|2013-05-28|Amazon Technologies, Inc.|Touch-screen user interface|

---

US8624851B2|2009-09-02|2014-01-07|Amazon Technologies, Inc.|Touch-screen user interface|

---

US8675084B2|2009-09-04|2014-03-18|Apple Inc.|Systems and methods for remote camera control|

---

WO2011026247A1|2009-09-04|2011-03-10|Svox Ag|Speech enhancement techniques on the power spectrum|

---

TW201110108A|2009-09-04|2011-03-16|Chunghwa Telecom Co Ltd|Voice noise elimination method for microphone array|

---

US20120265535A1|2009-09-07|2012-10-18|Donald Ray Bryant-Rich|Personal voice operated reminder system|

---

US8560300B2|2009-09-09|2013-10-15|International Business Machines Corporation|Error correction using fact repositories|

---

US20110060812A1|2009-09-10|2011-03-10|Level 3 Communications, Llc|Cache server with extensible programming framework|

---

US8321527B2|2009-09-10|2012-11-27|Tribal Brands|System and method for tracking user location and associated activity and responsively providing mobile device updates|

---

US8788267B2|2009-09-10|2014-07-22|Mitsubishi Electric Research Laboratories, Inc.|Multi-purpose contextual control|

---

US20110066468A1|2009-09-11|2011-03-17|Internationl Business Machines Corporation|Dynamic event planning through location awareness|

---

US9140569B2|2009-09-11|2015-09-22|Telenav, Inc|Location based system with contextual contact manager mechanism and method of operation thereof|

---

US8704854B2|2009-09-14|2014-04-22|Tivo Inc.|Multifunction multimedia device|

---

US10587833B2|2009-09-16|2020-03-10|Disney Enterprises, Inc.|System and method for automated network search and companion display of result relating to audio-video metadata|

---

US8972878B2|2009-09-21|2015-03-03|Avaya Inc.|Screen icon manipulation by context and frequency of Use|

---

US9015148B2|2009-09-21|2015-04-21|Microsoft Corporation|Suggesting related search queries during web browsing|

---

US8768308B2|2009-09-29|2014-07-01|Deutsche Telekom Ag|Apparatus and method for creating and managing personal schedules via context-sensing and actuation|

---

US9111538B2|2009-09-30|2015-08-18|T-Mobile Usa, Inc.|Genius button secondary commands|

---

US8995625B2|2009-09-30|2015-03-31|T-Mobile Usa, Inc.|Unified interface and routing module for handling audio input|

---

TW201113741A|2009-10-01|2011-04-16|Htc Corp|Lock-state switching method, electronic apparatus and computer program product|

---

KR20110036385A|2009-10-01|2011-04-07|삼성전자주식회사|Apparatus for analyzing intention of user and method thereof|

---

US20110083079A1|2009-10-02|2011-04-07|International Business Machines Corporation|Apparatus, system, and method for improved type-ahead functionality in a type-ahead field based on activity of a user within a user interface|

---

US9338274B2|2009-10-02|2016-05-10|Blackberry Limited|Method of interacting with electronic devices in a locked state and handheld electronic device configured to permit interaction when in a locked state|

---

US8892669B2|2009-10-05|2014-11-18|Lenovo Innovations Limited |Communication terminal having email transmission functionality, method for transmitting email, and computer-readable recording medium|

---

JP5473520B2|2009-10-06|2014-04-16|キヤノン株式会社|Input device and control method thereof|

---

US7809550B1|2009-10-08|2010-10-05|Joan Barry Barrows|System for reading chinese characters in seconds|

---

US20110087685A1|2009-10-09|2011-04-14|Microsoft Corporation|Location-based service middleware|

---

CN101673544B|2009-10-10|2012-07-04|上海电虹软件有限公司|Cross monitoring method and system based on voiceprint recognition and location tracking|

---

US8335689B2|2009-10-14|2012-12-18|Cogi, Inc.|Method and system for efficient management of speech transcribers|

---

US8510103B2|2009-10-15|2013-08-13|Paul Angott|System and method for voice recognition|

---

US8611876B2|2009-10-15|2013-12-17|Larry Miller|Configurable phone with interactive voice response engine|

---

US8255217B2|2009-10-16|2012-08-28|At&T Intellectual Property I, Lp|Systems and methods for creating and using geo-centric language models|

---

US8451112B2|2009-10-19|2013-05-28|Qualcomm Incorporated|Methods and apparatus for estimating departure time based on known calendar events|

---

US8332748B1|2009-10-22|2012-12-11|Google Inc.|Multi-directional auto-complete menu|

---

US8554537B2|2009-10-23|2013-10-08|Samsung Electronics Co., Ltd|Method and device for transliteration|

---

US8326624B2|2009-10-26|2012-12-04|International Business Machines Corporation|Detecting and communicating biometrics of recorded voice during transcription process|

---

CA2779289A1|2009-10-28|2011-05-19|Google Inc.|Computer-to-computer communication|

---

US20110099507A1|2009-10-28|2011-04-28|Google Inc.|Displaying a collection of interactive elements that trigger actions directed to an item|

---

US8386574B2|2009-10-29|2013-02-26|Xerox Corporation|Multi-modality classification for one-class classification in social networks|

---

US9247421B2|2009-10-30|2016-01-26|Samsung Electronics Co., Ltd|Mobile device, content delivery apparatus, content providing apparatus and control method thereof|

---

US8315617B2|2009-10-31|2012-11-20|Btpatent Llc|Controlling mobile device functions|

---

US8832205B2|2009-11-02|2014-09-09|Lextine Software, Llc|System and method for extracting calendar events from free-form email|

---

CN102056026B|2009-11-06|2013-04-03|中国移动通信集团设计院有限公司|Audio/video synchronization detection method and system, and voice detection method and system|

---

JP5622744B2|2009-11-06|2014-11-12|株式会社東芝|Voice recognition device|

---

US20120137367A1|2009-11-06|2012-05-31|Cataphora, Inc.|Continuous anomaly detection based on behavior modeling and heterogeneous information analysis|

---

US9171541B2|2009-11-10|2015-10-27|Voicebox Technologies Corporation|System and method for hybrid processing in a natural language voice services environment|

---

US8321209B2|2009-11-10|2012-11-27|Research In Motion Limited|System and method for low overhead frequency domain voice authentication|

---

US8527859B2|2009-11-10|2013-09-03|Dulcetta, Inc.|Dynamic audio playback of soundtracks for electronic visual works|

---

US20110111724A1|2009-11-10|2011-05-12|David Baptiste|Method and apparatus for combating distracted driving|

---

WO2011059997A1|2009-11-10|2011-05-19|Voicebox Technologies, Inc.|System and method for providing a natural language content dedication service|

---

US8358747B2|2009-11-10|2013-01-22|International Business Machines Corporation|Real time automatic caller speech profiling|

---

US8732180B2|2009-11-12|2014-05-20|Apple Inc.|Recommending media items|

---

US8682649B2|2009-11-12|2014-03-25|Apple Inc.|Sentiment prediction from textual data|

---

WO2011057346A1|2009-11-12|2011-05-19|Robert Henry Frater|Speakerphone and/or microphone arrays and methods and systems of using the same|

---

US8712759B2|2009-11-13|2014-04-29|Clausal Computing Oy|Specializing disambiguation of a natural language expression|

---

KR20110052863A|2009-11-13|2011-05-19|삼성전자주식회사|Mobile device and method for generating control signal thereof|

---

US20130166303A1|2009-11-13|2013-06-27|Adobe Systems Incorporated|Accessing media data using metadata repository|

---

TWI391915B|2009-11-17|2013-04-01|Inst Information Industry|Method and apparatus for builiding phonetic variation models and speech recognition|

---

KR101595029B1|2009-11-18|2016-02-17|엘지전자 주식회사|Mobile terminal and method for controlling the same|

---

US8358752B2|2009-11-19|2013-01-22|At&T Mobility Ii Llc|User profile based speech to text conversion for visual voice mail|

---

US8630971B2|2009-11-20|2014-01-14|Indian Institute Of Science|System and method of using Multi Pattern Viterbi Algorithm for joint decoding of multiple patterns|

---

US8358749B2|2009-11-21|2013-01-22|At&T Intellectual Property I, L.P.|System and method to search a media content database based on voice input data|

---

KR101960835B1|2009-11-24|2019-03-21|삼성전자주식회사|Schedule Management System Using Interactive Robot and Method Thereof|

---

US20110153330A1|2009-11-27|2011-06-23|i-SCROLL|System and method for rendering text synchronized audio|

---

US8423288B2|2009-11-30|2013-04-16|Apple Inc.|Dynamic alerts for calendar events|

---

US8731901B2|2009-12-02|2014-05-20|Content Savvy, Inc.|Context aware back-transliteration and translation of names and common phrases using web resources|

---

AU2010325897A1|2009-12-04|2012-06-21|Tivo Inc.|Multifunction multimedia device|

---

US8396888B2|2009-12-04|2013-03-12|Google Inc.|Location-based searching using a search area that corresponds to a geographical location of a computing device|

---

US20110137664A1|2009-12-09|2011-06-09|International Business Machines Corporation|Providing Schedule Related Information to External Entities|

---

US8812990B2|2009-12-11|2014-08-19|Nokia Corporation|Method and apparatus for presenting a first person world view of content|

---

KR101622111B1|2009-12-11|2016-05-18|삼성전자 주식회사|Dialog system and conversational method thereof|

---

US8737975B2|2009-12-11|2014-05-27|At&T Mobility Ii Llc|Audio-based text messaging|

---

US8224300B2|2009-12-11|2012-07-17|Alpine Electronics, Inc.|Method and apparatus to enhance navigation user experience for a smart phone device|

---

US8543917B2|2009-12-11|2013-09-24|Nokia Corporation|Method and apparatus for presenting a first-person world view of content|

---

US9766089B2|2009-12-14|2017-09-19|Nokia Technologies Oy|Method and apparatus for correlating and navigating between a live image and a prerecorded panoramic image|

---

US20110144857A1|2009-12-14|2011-06-16|Theodore Charles Wingrove|Anticipatory and adaptive automobile hmi|

---

US8892443B2|2009-12-15|2014-11-18|At&T Intellectual Property I, L.P.|System and method for combining geographic metadata in automatic speech recognition language and acoustic models|

---

KR101211796B1|2009-12-16|2012-12-13|포항공과대학교 산학협력단|Apparatus for foreign language learning and method for providing foreign language learning service|

---

US8922485B1|2009-12-18|2014-12-30|Google Inc.|Behavioral recognition on mobile devices|

---

US8341037B2|2009-12-18|2012-12-25|Apple Inc.|Mixed source media playback|

---

US9100809B2|2009-12-21|2015-08-04|Julia Olincy Olincy|Automatic response option mobile system for responding to incoming texts or calls or both|

---

US8385982B2|2009-12-21|2013-02-26|At&T Intellectual Property I, L.P.|Controlling use of a communications device in accordance with motion of the device|

---

US20110154193A1|2009-12-21|2011-06-23|Nokia Corporation|Method and Apparatus for Text Input|

---

US8805711B2|2009-12-22|2014-08-12|International Business Machines Corporation|Two-layer data architecture for reservation management systems|

---

KR20110072847A|2009-12-23|2011-06-29|삼성전자주식회사|Dialog management system or method for processing information seeking dialog|

---

EP3091535A3|2009-12-23|2017-03-01|Google, Inc.|Multi-modal input on an electronic device|

---

US20110161309A1|2009-12-29|2011-06-30|Lx1 Technology Limited|Method Of Sorting The Result Set Of A Search Engine|

---

EP2559030B1|2010-03-19|2017-06-21|Digimarc Corporation|Intuitive computing methods and systems|

---

US8479107B2|2009-12-31|2013-07-02|Nokia Corporation|Method and apparatus for fluid graphical user interface|

---

US8988356B2|2009-12-31|2015-03-24|Google Inc.|Touch sensor and touchscreen user input combination|

---

US9197736B2|2009-12-31|2015-11-24|Digimarc Corporation|Intuitive computing methods and systems|

---

US8494852B2|2010-01-05|2013-07-23|Google Inc.|Word-level correction of speech input|

---

WO2011082521A1|2010-01-06|2011-07-14|Zoran Corporation|Method and apparatus for voice controlled operation of a media player|

---

US8600743B2|2010-01-06|2013-12-03|Apple Inc.|Noise profile determination for voice-related feature|

---

US20110167350A1|2010-01-06|2011-07-07|Apple Inc.|Assist Features For Content Display Device|

---

US8381107B2|2010-01-13|2013-02-19|Apple Inc.|Adaptive audio feedback system and method|

---

US8311838B2|2010-01-13|2012-11-13|Apple Inc.|Devices and methods for identifying a prompt corresponding to a voice input in a sequence of prompts|

---

US8334842B2|2010-01-15|2012-12-18|Microsoft Corporation|Recognizing user intent in motion capture system|

---

US20110179372A1|2010-01-15|2011-07-21|Bradford Allen Moore|Automatic Keyboard Layout Determination|

---

US10496753B2|2010-01-18|2019-12-03|Apple Inc.|Automatically adapting user interfaces for hands-free interaction|

---

US10705794B2|2010-01-18|2020-07-07|Apple Inc.|Automatically adapting user interfaces for hands-free interaction|

---

KR20160010523A|2013-06-07|2016-01-27|애플 인크.|Intelligent automated assistant|

---

US20130275899A1|2010-01-18|2013-10-17|Apple Inc.|Application Gateway for Providing Different User Interfaces for Limited Distraction and Non-Limited Distraction Contexts|

---

WO2013048880A1|2011-09-30|2013-04-04|Apple Inc.|Automatically adapting user interfaces for hands-free interaction|

---

US10276170B2|2010-01-18|2019-04-30|Apple Inc.|Intelligent automated assistant|

---

US10553209B2|2010-01-18|2020-02-04|Apple Inc.|Systems and methods for hands-free notification summaries|

---

US9318108B2|2010-01-18|2016-04-19|Apple Inc.|Intelligent automated assistant|

---

US10679605B2|2010-01-18|2020-06-09|Apple Inc.|Hands-free list-reading by intelligent automated assistant|

---

US20110179002A1|2010-01-19|2011-07-21|Dell Products L.P.|System and Method for a Vector-Space Search Engine|

---

US8417575B2|2010-01-19|2013-04-09|Apple Inc.|On-device offline purchases using credits|

---

US8301121B2|2010-01-22|2012-10-30|Sony Ericsson Mobile Communications Ab|Regulating alerts generated by communication terminals responsive to sensed movement|

---

US8626511B2|2010-01-22|2014-01-07|Google Inc.|Multi-dimensional disambiguation of voice commands|

---

US20110184736A1|2010-01-26|2011-07-28|Benjamin Slotznick|Automated method of recognizing inputted information items and selecting information items|

---

US20110184768A1|2010-01-27|2011-07-28|Norton Kenneth S|Automatically determine suggested meeting locations based on previously booked calendar events|

---

JP5633042B2|2010-01-28|2014-12-03|本田技研工業株式会社|Speech recognition apparatus, speech recognition method, and speech recognition robot|

---

US8406745B1|2010-01-28|2013-03-26|Sprint Communications Company L.P.|Synchronization of voice mail greeting and email auto-reply by a wireless communication device|

---

JP5796496B2|2010-01-29|2015-10-21|日本電気株式会社|Input support system, method, and program|

---

US8687777B1|2010-02-03|2014-04-01|Tal Lavian|Systems and methods for visual presentation and selection of IVR menu|

---

US8600967B2|2010-02-03|2013-12-03|Apple Inc.|Automatic organization of browsing histories|

---

US8645287B2|2010-02-04|2014-02-04|Microsoft Corporation|Image tagging based upon cross domain context|

---

US8886541B2|2010-02-04|2014-11-11|Sony Corporation|Remote controller with position actuatated voice transmission|

---

US8751218B2|2010-02-09|2014-06-10|Siemens Aktiengesellschaft|Indexing content at semantic level|

---

US8179370B1|2010-02-09|2012-05-15|Google Inc.|Proximity based keystroke resolution|

---

US9413869B2|2010-02-10|2016-08-09|Qualcomm Incorporated|Mobile device having plurality of input modes|

---

US8402018B2|2010-02-12|2013-03-19|Korea Advanced Institute Of Science And Technology|Semantic search system using semantic ranking scheme|

---

US8782556B2|2010-02-12|2014-07-15|Microsoft Corporation|User-centric soft keyboard predictive technologies|

---

US8812056B2|2010-02-12|2014-08-19|Christopher D. Higginbotham|Voice-based command driven computer implemented method|

---

US9965165B2|2010-02-19|2018-05-08|Microsoft Technology Licensing, Llc|Multi-finger gestures|

---

US8850360B2|2010-02-23|2014-09-30|Hewlett-Packard Development Company, L.P.|Skipping through electronic content on an electronic device|

---

US9665344B2|2010-02-24|2017-05-30|GM Global Technology Operations LLC|Multi-modal input system for a voice-based menu and content navigation service|

---

US8682667B2|2010-02-25|2014-03-25|Apple Inc.|User profiling for selecting user specific voice input processing information|

---

US9710556B2|2010-03-01|2017-07-18|Vcvc Iii Llc|Content recommendation based on collections of entities|

---

US20120066303A1|2010-03-03|2012-03-15|Waldeck Technology, Llc|Synchronized group location updates|

---

US20110218855A1|2010-03-03|2011-09-08|Platformation, Inc.|Offering Promotions Based on Query Analysis|

---

US8502837B2|2010-03-04|2013-08-06|Research In Motion Limited|System and method for activating components on an electronic device using orientation data|

---

US8903847B2|2010-03-05|2014-12-02|International Business Machines Corporation|Digital media voice tags in social networks|

---

US8948515B2|2010-03-08|2015-02-03|Sightera Technologies Ltd.|Method and system for classifying one or more images|

---

EP2545426A4|2010-03-12|2017-05-17|Nuance Communications, Inc.|Multimodal text input system, such as for use with touch screens on mobile phones|

---

US8521513B2|2010-03-12|2013-08-27|Microsoft Corporation|Localization for interactive voice response systems|

---

US20110228913A1|2010-03-16|2011-09-22|Telcordia Technologies, Inc.|Automatic extraction of information from ongoing voice communication system and methods|

---

US8374864B2|2010-03-17|2013-02-12|Cisco Technology, Inc.|Correlation of transcribed text with corresponding audio|

---

US20110231218A1|2010-03-18|2011-09-22|Tovar Tom C|Systems and Methods for Providing Reminders for a Task List|

---

US9323756B2|2010-03-22|2016-04-26|Lenovo Pte. Ltd.|Audio book and e-book synchronization|

---

US8554280B2|2010-03-23|2013-10-08|Ebay Inc.|Free-form entries during payment processes|

---

US20110239111A1|2010-03-24|2011-09-29|Avaya Inc.|Spell checker interface|

---

US20110238676A1|2010-03-25|2011-09-29|Palm, Inc.|System and method for data capture, storage, and retrieval|

---

US9628831B2|2010-03-25|2017-04-18|Whatsapp, Inc.|Multimedia transcoding method and system for mobile devices|

---

US9378202B2|2010-03-26|2016-06-28|Virtuoz Sa|Semantic clustering|

---

WO2011119168A1|2010-03-26|2011-09-29|Nuance Communications, Inc.|Context based voice activity detection sensitivity|

---

US20110238412A1|2010-03-26|2011-09-29|Antoine Ezzat|Method for Constructing Pronunciation Dictionaries|

---

US8428759B2|2010-03-26|2013-04-23|Google Inc.|Predictive pre-recording of audio for voice input|

---

US8930176B2|2010-04-01|2015-01-06|Microsoft Corporation|Interactive multilingual word-alignment techniques|

---

US20110242007A1|2010-04-01|2011-10-06|Gray Theodore W|E-Book with User-Manipulatable Graphical Objects|

---

US8296380B1|2010-04-01|2012-10-23|Kel & Partners LLC|Social media based messaging systems and methods|

---

WO2011150730A1|2010-05-31|2011-12-08|百度在线网络技术（北京）有限公司|Method and device for mixed input in english and another kind of language|

---

US20110246471A1|2010-04-06|2011-10-06|Selim Shlomo Rakib|Retrieving video annotation metadata using a p2p network|

---

CA2795812A1|2010-04-07|2011-10-13|Max Value Solutions INTL, LLC|Method and system for name pronunciation guide services|

---

US8448084B2|2010-04-08|2013-05-21|Twitter, Inc.|User interface mechanics|

---

US8810684B2|2010-04-09|2014-08-19|Apple Inc.|Tagging images in a mobile communications device using a contacts list|

---

KR101369810B1|2010-04-09|2014-03-05|이초강|Empirical Context Aware Computing Method For Robot|

---

JP5315289B2|2010-04-12|2013-10-16|トヨタ自動車株式会社|Operating system and operating method|

---

JP5921527B2|2010-04-12|2016-05-24|グーグル インコーポレイテッド|Extended framework for input method editor|

---

CN102214187B|2010-04-12|2017-03-01|阿里巴巴集团控股有限公司|Complex event processing method and device|

---

US8140567B2|2010-04-13|2012-03-20|Microsoft Corporation|Measuring entity extraction complexity|

---

US8265928B2|2010-04-14|2012-09-11|Google Inc.|Geotagged environmental audio for enhanced speech recognition accuracy|

---

US8756233B2|2010-04-16|2014-06-17|Video Semantics|Semantic segmentation and tagging engine|

---

US8595014B2|2010-04-19|2013-11-26|Qualcomm Incorporated|Providing audible navigation system direction updates during predetermined time windows so as to minimize impact on conversations|

---

US20110260829A1|2010-04-21|2011-10-27|Research In Motion Limited|Method of providing security on a portable electronic device having a touch-sensitive display|

---

WO2011133543A1|2010-04-21|2011-10-27|Proteus Biomedical, Inc.|Diagnostic system and method|

---

US20110264495A1|2010-04-22|2011-10-27|Apple Inc.|Aggregation of tagged media item information|

---

US20110264999A1|2010-04-23|2011-10-27|Research In Motion Limited|Electronic device including touch-sensitive input device and method of controlling same|

---

US8452037B2|2010-05-05|2013-05-28|Apple Inc.|Speaker clip|

---

US8380504B1|2010-05-06|2013-02-19|Sprint Communications Company L.P.|Generation of voice profiles|

---

US8756571B2|2010-05-07|2014-06-17|Hewlett-Packard Development Company, L.P.|Natural language text instructions|

---

US8938436B2|2010-05-10|2015-01-20|Verizon Patent And Licensing Inc.|System for and method of providing reusable software service information based on natural language queries|

---

JP2011238022A|2010-05-11|2011-11-24|Panasonic Corp|Method for grasping use of terminal and content and content use system|

---

US20110283189A1|2010-05-12|2011-11-17|Rovi Technologies Corporation|Systems and methods for adjusting media guide interaction modes|

---

US20110279368A1|2010-05-12|2011-11-17|Microsoft Corporation|Inferring user intent to engage a motion capture system|

---

US9628579B2|2010-05-13|2017-04-18|Futurewei Technologies, Inc.|System, apparatus for content delivery for internet traffic and methods thereof|

---

US8560313B2|2010-05-13|2013-10-15|General Motors Llc|Transient noise rejection for speech recognition|

---

US9634855B2|2010-05-13|2017-04-25|Alexander Poltorak|Electronic personal interactive device that determines topics of interest using a conversational agent|

---

US9015139B2|2010-05-14|2015-04-21|Rovi Guides, Inc.|Systems and methods for performing a search based on a media content snapshot image|

---

CA2704344C|2010-05-18|2020-09-08|Christopher A. Mchenry|Electronic document classification|

---

US8392186B2|2010-05-18|2013-03-05|K-Nfb Reading Technology, Inc.|Audio synchronization for document narration with user-selected playback|

---

US8694313B2|2010-05-19|2014-04-08|Google Inc.|Disambiguation of contact information using historical data|

---

US9552355B2|2010-05-20|2017-01-24|Xerox Corporation|Dynamic bi-phrases for statistical machine translation|

---

US8522283B2|2010-05-20|2013-08-27|Google Inc.|Television remote control data transfer|

---

WO2011143827A1|2010-05-21|2011-11-24|Google Inc.|Input method editor|

---

US9236047B2|2010-05-21|2016-01-12|Microsoft Technology Licensing, Llc|Voice stream augmented note taking|

---

US8606579B2|2010-05-24|2013-12-10|Microsoft Corporation|Voice print identification for identifying speakers|

---

JP2011250027A|2010-05-25|2011-12-08|Panasonic Electric Works Co Ltd|Remote control device and information communication system|

---

US9569549B1|2010-05-25|2017-02-14|Amazon Technologies, Inc.|Location based recommendation and tagging of media content items|

---

US8468012B2|2010-05-26|2013-06-18|Google Inc.|Acoustic model adaptation using geographic information|

---

US8639516B2|2010-06-04|2014-01-28|Apple Inc.|User-specific noise suppression for voice quality improvements|

---

US8707195B2|2010-06-07|2014-04-22|Apple Inc.|Devices, methods, and graphical user interfaces for accessibility via a touch-sensitive surface|

---

US8954425B2|2010-06-08|2015-02-10|Microsoft Corporation|Snippet extraction and ranking|

---

US8458115B2|2010-06-08|2013-06-04|Microsoft Corporation|Mining topic-related aspects from user generated content|

---

EP2397972B1|2010-06-08|2015-01-07|Vodafone Holding GmbH|Smart card with microphone|

---

US20110306426A1|2010-06-10|2011-12-15|Microsoft Corporation|Activity Participation Based On User Intent|

---

US20110307810A1|2010-06-11|2011-12-15|Isreal Hilerio|List integration|

---

US8234111B2|2010-06-14|2012-07-31|Google Inc.|Speech and noise models for speech recognition|

---

US8504404B2|2010-06-17|2013-08-06|Google Inc.|Distance and location-aware scheduling assistance in a calendar system with notification of potential conflicts|

---

US20110314003A1|2010-06-17|2011-12-22|Microsoft Corporation|Template concatenation for capturing multiple concepts in a voice query|

---

US8620890B2|2010-06-18|2013-12-31|Accelerated Vision Group Llc|System and method of semantic based searching|

---

US9443071B2|2010-06-18|2016-09-13|At&T Intellectual Property I, L.P.|Proximity based device security|

---

US9009592B2|2010-06-22|2015-04-14|Microsoft Technology Licensing, Llc|Population of lists and tasks from captured voice and audio content|

---

US20110313803A1|2010-06-22|2011-12-22|Microsoft Corporation|Social Task Lists|

---

US8375320B2|2010-06-22|2013-02-12|Microsoft Corporation|Context-based task generation|

---

EP2400373A1|2010-06-22|2011-12-28|Vodafone Holding GmbH|Inputting symbols into an electronic device having a touch-screen|

---

US8655901B1|2010-06-23|2014-02-18|Google Inc.|Translation-based query pattern mining|

---

US8581844B2|2010-06-23|2013-11-12|Google Inc.|Switching between a first operational mode and a second operational mode using a natural motion gesture|

---

US11068657B2|2010-06-28|2021-07-20|Skyscanner Limited|Natural language question answering system and method based on deep semantics|

---

CN101894547A|2010-06-30|2010-11-24|北京捷通华声语音技术有限公司|Speech synthesis method and system|

---

US8411874B2|2010-06-30|2013-04-02|Google Inc.|Removing noise from audio|

---

US8250071B1|2010-06-30|2012-08-21|Amazon Technologies, Inc.|Disambiguation of term meaning|

---

JP5323770B2|2010-06-30|2013-10-23|日本放送協会|User instruction acquisition device, user instruction acquisition program, and television receiver|

---

EP2402867B1|2010-07-02|2018-08-22|Accenture Global Services Limited|A computer-implemented method, a computer program product and a computer system for image processing|

---

US20120005602A1|2010-07-02|2012-01-05|Nokia Corporation|Methods and apparatuses for facilitating task switching|

---

US8885978B2|2010-07-05|2014-11-11|Apple Inc.|Operating a device to capture high dynamic range images|

---

US20120010886A1|2010-07-06|2012-01-12|Javad Razavilar|Language Identification|

---

US8848882B2|2010-07-07|2014-09-30|Verizon Patent And Licensing Inc.|System for and method of measuring caller interactions during a call session|

---

US8249556B2|2010-07-13|2012-08-21|Google Inc.|Securing a mobile computing device|

---

US9104670B2|2010-07-21|2015-08-11|Apple Inc.|Customized search or acquisition of digital media assets|

---

US8260247B2|2010-07-21|2012-09-04|Research In Motion Limited|Portable electronic device and method of operation|

---

EP2596647B1|2010-07-23|2016-01-06|Sonova AG|Hearing system and method for operating a hearing system|

---

US9786159B2|2010-07-23|2017-10-10|Tivo Solutions Inc.|Multi-function remote control device|

---

US8861925B1|2010-07-28|2014-10-14|Intuit Inc.|Methods and systems for audio-visual synchronization|

---

JP5606205B2|2010-07-28|2014-10-15|京セラ株式会社|Mobile terminal device|

---

US8694537B2|2010-07-29|2014-04-08|Soundhound, Inc.|Systems and methods for enabling natural language processing|

---

KR101699720B1|2010-08-03|2017-01-26|삼성전자주식회사|Apparatus for voice command recognition and method thereof|

---

BRPI1004128A2|2010-08-04|2012-04-10|Magneti Marelli Sist S Automotivos Ind E Com Ltda|Setting Top Level Key Parameters for Biodiesel Logic Sensor|

---

US9349368B1|2010-08-05|2016-05-24|Google Inc.|Generating an audio notification based on detection of a triggering event|

---

US8775156B2|2010-08-05|2014-07-08|Google Inc.|Translating languages in response to device motion|

---

US8402533B2|2010-08-06|2013-03-19|Google Inc.|Input to locked computing device|

---

US8473289B2|2010-08-06|2013-06-25|Google Inc.|Disambiguating input based on context|

---

US8359020B2|2010-08-06|2013-01-22|Google Inc.|Automatically monitoring for voice input based on context|

---

US8731939B1|2010-08-06|2014-05-20|Google Inc.|Routing queries based on carrier phrase registration|

---

WO2012019637A1|2010-08-09|2012-02-16|Jadhav, Shubhangi Mahadeo|Visual music playlist creation and visual music track exploration|

---

US8802957B2|2010-08-16|2014-08-12|Boardwalk Technology Group, Llc|Mobile replacement-dialogue recording system|

---

CN101951553B|2010-08-17|2012-10-10|深圳市车音网科技有限公司|Navigation method and system based on speech command|

---

JP2013538522A|2010-08-27|2013-10-10|インテルコーポレイション|Techniques for object-based behavior|

---

US8719006B2|2010-08-27|2014-05-06|Apple Inc.|Combined statistical and rule-based part-of-speech tagging for text-to-speech synthesis|

---

US8478519B2|2010-08-30|2013-07-02|Google Inc.|Providing results to parameterless search queries|

---

WO2012030838A1|2010-08-30|2012-03-08|Honda Motor Co., Ltd.|Belief tracking and action selection in spoken dialog systems|

---

US8225137B2|2010-09-04|2012-07-17|Cisco Technology, Inc.|System and method for providing media server redundancy in a network environment|

---

US9800721B2|2010-09-07|2017-10-24|Securus Technologies, Inc.|Multi-party conversation analyzer and logger|

---

US8341142B2|2010-09-08|2012-12-25|Nuance Communications, Inc.|Methods and apparatus for searching the Internet|

---

US20120059655A1|2010-09-08|2012-03-08|Nuance Communications, Inc.|Methods and apparatus for providing input to a speech-enabled application program|

---

WO2012033820A2|2010-09-08|2012-03-15|Nuance Communications, Inc.|Internet search related methods and apparatus|

---

WO2012033492A1|2010-09-09|2012-03-15|Sony Ericsson Mobile Communications Ab|Annotating e-books/e-magazines with application results|

---

US8560229B1|2010-09-15|2013-10-15|Google Inc.|Sensor based activity detection|

---

US8887169B2|2010-09-15|2014-11-11|Empire Technology Development Llc|Task assignment in cloud computing environment|

---

US9538229B2|2010-09-15|2017-01-03|Verizon Patent And Licensing Inc.|Media experience for touch screen devices|

---

US20120068937A1|2010-09-16|2012-03-22|Sony Ericsson Mobile Communications Ab|Quick input language/virtual keyboard/ language dictionary change on a touch screen device|

---

US20120078635A1|2010-09-24|2012-03-29|Apple Inc.|Voice control system|

---

US8836638B2|2010-09-25|2014-09-16|Hewlett-Packard Development Company, L.P.|Silent speech based command to a computing device|

---

US8594997B2|2010-09-27|2013-11-26|Sap Ag|Context-aware conversational user interface|

---

KR20120031722A|2010-09-27|2012-04-04|삼성전자주식회사|Apparatus and method for generating dynamic response|

---

US8719014B2|2010-09-27|2014-05-06|Apple Inc.|Electronic device with text error correction based on voice recognition data|

---

CN101937194B|2010-09-27|2012-12-19|鸿富锦精密工业（深圳）有限公司|Intelligence control system with learning function and method thereof|

---

US20120114108A1|2010-09-27|2012-05-10|Voxer Ip Llc|Messaging communication application|

---

US10037319B2|2010-09-29|2018-07-31|Touchtype Limited|User input prediction|

---

CN102436456B|2010-09-29|2016-03-30|国际商业机器公司|For the method and apparatus of classifying to named entity|

---

GB201016385D0|2010-09-29|2010-11-10|Touchtype Ltd|System and method for inputting text into electronic devices|

---

WO2012040872A1|2010-09-29|2012-04-05|Yahoo! Inc.|Training search query intent classifier using wiki article titles and search click log|

---

US8515736B1|2010-09-30|2013-08-20|Nuance Communications, Inc.|Training call routing applications by reusing semantically-labeled data collected for prior applications|

---

US8644519B2|2010-09-30|2014-02-04|Apple Inc.|Electronic devices with improved audio|

---

US8965545B2|2010-09-30|2015-02-24|Google Inc.|Progressive encoding of audio|

---

US8812321B2|2010-09-30|2014-08-19|At&T Intellectual Property I, L.P.|System and method for combining speech recognition outputs from a plurality of domain-specific speech recognizers via machine learning|

---

US20120084248A1|2010-09-30|2012-04-05|Microsoft Corporation|Providing suggestions based on user intent|

---

US8606293B2|2010-10-05|2013-12-10|Qualcomm Incorporated|Mobile device location estimation using environmental information|

---

US20120084634A1|2010-10-05|2012-04-05|Sony Corporation|Method and apparatus for annotating text|

---

US9679256B2|2010-10-06|2017-06-13|The Chancellor, Masters And Scholars Of The University Of Cambridge|Automated assessment of examination scripts|

---

US10900799B2|2010-10-12|2021-01-26|Toyota Motor Engineering & Manufacturing North America, Inc.|Systems and methods for determining a destination location from a communication|

---

US20120271640A1|2010-10-15|2012-10-25|Basir Otman A|Implicit Association and Polymorphism Driven Human Machine Interaction|

---

JP5572059B2|2010-10-21|2014-08-13|京セラ株式会社|Display device|

---

JP5017441B2|2010-10-28|2012-09-05|株式会社東芝|Portable electronic devices|

---

US8335774B2|2010-10-28|2012-12-18|Google Inc.|Replacing a master media file|

---

US20120108221A1|2010-10-28|2012-05-03|Microsoft Corporation|Augmenting communication sessions with applications|

---

US9330667B2|2010-10-29|2016-05-03|Iflytek Co., Ltd.|Method and system for endpoint automatic detection of audio record|

---

US9348417B2|2010-11-01|2016-05-24|Microsoft Technology Licensing, Llc|Multimodal input system|

---

US20120110456A1|2010-11-01|2012-05-03|Microsoft Corporation|Integrated voice command modal user interface|

---

US8660531B2|2010-11-03|2014-02-25|Blackberry Limited|Access to locked functions|

---

US8831947B2|2010-11-07|2014-09-09|Nice Systems Ltd.|Method and apparatus for large vocabulary continuous speech recognition using a hybrid phoneme-word lattice|

---

US20120116770A1|2010-11-08|2012-05-10|Ming-Fu Chen|Speech data retrieving and presenting device|

---

EP2451141B1|2010-11-09|2018-11-07|BlackBerry Limited|Methods and apparatus to display mobile device contents|

---

US8352576B2|2010-11-15|2013-01-08|Google Inc.|Media file access|

---

US20120124172A1|2010-11-15|2012-05-17|Google Inc.|Providing Different Versions of a Media File|

---

US20130339256A1|2010-11-16|2013-12-19|Shardul Suresh Shroff|System and method for providing virtual arbitration|

---

US20120124126A1|2010-11-17|2012-05-17|Microsoft Corporation|Contextual and task focused computing|

---

US10144440B2|2010-11-17|2018-12-04|General Electric Company|Methods and systems for data communications|

---

US8713024B2|2010-11-22|2014-04-29|Microsoft Corporation|Efficient forward ranking in a search engine|

---

US9484018B2|2010-11-23|2016-11-01|At&T Intellectual Property I, L.P.|System and method for building and evaluating automatic speech recognition via an application programmer interface|

---

US8938216B2|2010-11-24|2015-01-20|Cisco Technology, Inc.|Geographical location information/signal quality-context based recording and playback of multimedia data from a conference session|

---

US9105008B2|2010-11-29|2015-08-11|Yahoo! Inc.|Detecting controversial events|

---

US8489625B2|2010-11-29|2013-07-16|Microsoft Corporation|Mobile query suggestions with time-location awareness|

---

US8862458B2|2010-11-30|2014-10-14|Sap Ag|Natural language interface|

---

WO2012074338A2|2010-12-02|2012-06-07|에스케이텔레콤 주식회사|Natural language and mathematical formula processing method and device therefor|

---

JP5652913B2|2010-12-03|2015-01-14|アイシン・エィ・ダブリュ株式会社|In-vehicle terminal|

---

US9135241B2|2010-12-08|2015-09-15|At&T Intellectual Property I, L.P.|System and method for learning latent representations for natural language tasks|

---

US8312096B2|2010-12-08|2012-11-13|Google Inc.|Priority inbox notifications and synchronization for mobile messaging application|

---

US9244606B2|2010-12-20|2016-01-26|Apple Inc.|Device, method, and graphical user interface for navigation of concurrently open software applications|

---

US20120158293A1|2010-12-21|2012-06-21|General Electric Company|Methods and systems for dynamically providing users with appointment reminders|

---

US8666726B2|2010-12-21|2014-03-04|Nuance Communications, Inc.|Sample clustering to reduce manual transcriptions in speech recognition system|

---

US20120158422A1|2010-12-21|2012-06-21|General Electric Company|Methods and systems for scheduling appointments in healthcare systems|

---

US8532377B2|2010-12-22|2013-09-10|Xerox Corporation|Image ranking based on abstract concepts|

---

US10762293B2|2010-12-22|2020-09-01|Apple Inc.|Using parts-of-speech tagging and named entity recognition for spelling correction|

---

US10515147B2|2010-12-22|2019-12-24|Apple Inc.|Using statistical language models for contextual lookup|

---

US20130035086A1|2010-12-22|2013-02-07|Logitech Europe S.A.|Remote control system for providing content suggestions|

---

US20120166959A1|2010-12-23|2012-06-28|Microsoft Corporation|Surfacing content including content accessed from jump list tasks and items|

---

US20120166944A1|2010-12-23|2012-06-28|Stephen Hayden Cotterill|Device, Method, and Graphical User Interface for Switching Between Two User Interfaces|

---

US8838449B2|2010-12-23|2014-09-16|Microsoft Corporation|Word-dependent language model|

---

JP2012142744A|2010-12-28|2012-07-26|Sanyo Electric Co Ltd|Communication device|

---

TWI413105B|2010-12-30|2013-10-21|Ind Tech Res Inst|Multi-lingual text-to-speech synthesis system and method|

---

EP2659366A1|2010-12-30|2013-11-06|Ambientz|Information processing using a population of data acquisition devices|

---

US8626681B1|2011-01-04|2014-01-07|Google Inc.|Training a probabilistic spelling checker from structured data|

---

KR101828273B1|2011-01-04|2018-02-14|삼성전자주식회사|Apparatus and method for voice command recognition based on combination of dialog models|

---

WO2012092709A1|2011-01-05|2012-07-12|Google Inc.|Method and system for facilitating text input|

---

US8589950B2|2011-01-05|2013-11-19|Blackberry Limited|Processing user input events in a web browser|

---

US8898065B2|2011-01-07|2014-11-25|Nuance Communications, Inc.|Configurable speech recognition system using multiple recognizers|

---

US9183843B2|2011-01-07|2015-11-10|Nuance Communications, Inc.|Configurable speech recognition system using multiple recognizers|

---

JP5712618B2|2011-01-07|2015-05-07|サクサ株式会社|Telephone system|

---

EP2661699B1|2011-01-07|2017-06-28|BlackBerry Limited|System and method for controlling mobile communication devices|

---

US8689116B2|2011-01-14|2014-04-01|Apple Inc.|Email user interface|

---

US8863256B1|2011-01-14|2014-10-14|Cisco Technology, Inc.|System and method for enabling secure transactions using flexible identity management in a vehicular environment|

---

US20120192096A1|2011-01-25|2012-07-26|Research In Motion Limited|Active command line driven user interface|

---

US9031970B1|2011-01-26|2015-05-12|Google Inc.|Query autocompletions|

---

US8666895B2|2011-01-31|2014-03-04|Bank Of America Corporation|Single action mobile transaction device|

---

US8943054B2|2011-01-31|2015-01-27|Social Resolve, Llc|Social media content management system and method|

---

WO2012106198A1|2011-02-04|2012-08-09|Google Inc.|Posting to social networks by voice|

---

US9452735B2|2011-02-10|2016-09-27|Ford Global Technologies, Llc|System and method for controlling a restricted mode in a vehicle|

---

US20120209650A1|2011-02-11|2012-08-16|Avaya Inc.|Context-based mobile activity assistant|

---

US8862612B2|2011-02-11|2014-10-14|Sony Corporation|Direct search launch on a second display|

---

US20120209413A1|2011-02-14|2012-08-16|Microsoft Corporation|Background Audio on Mobile Devices|

---

US8694335B2|2011-02-18|2014-04-08|Nuance Communications, Inc.|Methods and apparatus for applying user corrections to medical fact extraction|

---

US9916420B2|2011-02-18|2018-03-13|Nuance Communications, Inc.|Physician and clinical documentation specialist workflow integration|

---

KR101178310B1|2011-02-24|2012-08-29|포항공과대학교 산학협력단|Method of managing communication and system for the same|

---

US10145960B2|2011-02-24|2018-12-04|Ford Global Technologies, Llc|System and method for cell phone restriction|

---

CN102651217A|2011-02-25|2012-08-29|株式会社东芝|Method and equipment for voice synthesis and method for training acoustic model used in voice synthesis|

---

JP2014511621A|2011-02-28|2014-05-15|トムソンライセンシング|Method and apparatus for display switching|

---

US20120221552A1|2011-02-28|2012-08-30|Nokia Corporation|Method and apparatus for providing an active search user interface element|

---

US8688453B1|2011-02-28|2014-04-01|Nuance Communications, Inc.|Intent mining via analysis of utterances|

---

US9632677B2|2011-03-02|2017-04-25|The Boeing Company|System and method for navigating a 3-D environment using a multi-input interface|

---

US8972275B2|2011-03-03|2015-03-03|Brightedge Technologies, Inc.|Optimization of social media engagement|

---

EP2498250B1|2011-03-07|2021-05-05|Accenture Global Services Limited|Client and server system for natural language-based control of a digital network of devices|

---

US9081760B2|2011-03-08|2015-07-14|At&T Intellectual Property I, L.P.|System and method for building diverse language models|

---

US20120233266A1|2011-03-11|2012-09-13|Microsoft Corporation|Peer-to-peer group with renegotiation of group owner|

---

CN202092650U|2011-03-14|2011-12-28|深圳市车乐数码科技有限公司|Vehicle-mounted multimedia device with keys and voice navigation function|

---

US8849931B2|2011-03-15|2014-09-30|Idt Messaging, Llc|Linking context-based information to text messages|

---

US8606090B2|2011-03-17|2013-12-10|Sony Corporation|Sport program chaptering|

---

US9262612B2|2011-03-21|2016-02-16|Apple Inc.|Device access using voice authentication|

---

US8862255B2|2011-03-23|2014-10-14|Audible, Inc.|Managing playback of synchronized content|

---

US20120246064A1|2011-03-23|2012-09-27|Ebay, Inc.|Customer refunds using payment service providers|

---

US20120246133A1|2011-03-23|2012-09-27|Microsoft Corporation|Online spelling correction/phrase completion system|

---

US8766793B2|2011-03-25|2014-07-01|Microsoft Corporation|Contextually-appropriate task reminders|

---

US9202465B2|2011-03-25|2015-12-01|General Motors Llc|Speech recognition dependent on text message content|

---

US9171546B1|2011-03-29|2015-10-27|Google Inc.|Performing functions based on commands in context of telephonic communication|

---

CN202035047U|2011-03-29|2011-11-09|张磊|Mobile terminal capable of extracting address information for navigation|

---

US9154555B2|2011-03-30|2015-10-06|Paypal, Inc.|Device specific remote disabling of applications|

---

US9842168B2|2011-03-31|2017-12-12|Microsoft Technology Licensing, Llc|Task driven user intents|

---

JP6087899B2|2011-03-31|2017-03-01|マイクロソフト テクノロジー ライセンシング，エルエルシー|Conversation dialog learning and conversation dialog correction|

---

US9280535B2|2011-03-31|2016-03-08|Infosys Limited|Natural language querying with cascaded conditional random fields|

---

US9337999B2|2011-04-01|2016-05-10|Intel Corporation|Application usage continuum across platforms|

---

US9098488B2|2011-04-03|2015-08-04|Microsoft Technology Licensing, Llc|Translation of multilingual embedded phrases|

---

US20120252367A1|2011-04-04|2012-10-04|Meditalk Devices, Llc|Auditory Speech Module For Medical Devices|

---

CN103562863A|2011-04-04|2014-02-05|惠普发展公司，有限责任合伙企业|Creating a correlation rule defining a relationship between event types|

---

US8914275B2|2011-04-06|2014-12-16|Microsoft Corporation|Text prediction|

---

CN102137193A|2011-04-13|2011-07-27|深圳凯虹移动通信有限公司|Mobile communication terminal and communication control method thereof|

---

US9292877B2|2011-04-13|2016-03-22|Longsand Limited|Methods and systems for generating concept-based hash tags|

---

US9366749B2|2011-04-15|2016-06-14|Qualcomm Incorporated|Device position estimates from motion and ambient light classifiers|

---

US9493130B2|2011-04-22|2016-11-15|Angel A. Penilla|Methods and systems for communicating content to connected vehicle users based detected tone/mood in voice input|

---

EP2702473A1|2011-04-25|2014-03-05|Veveo, Inc.|System and method for an intelligent personal timeline assistant|

---

US9444692B2|2011-04-26|2016-09-13|Openet Telecom Ltd.|Systems, devices and methods of crowd-sourcing across multiple domains|

---

US9110556B2|2011-04-28|2015-08-18|Nokia Technologies Oy|Method and apparatus for increasing the functionality of an electronic device in a locked state|

---

CN102981746A|2011-05-03|2013-03-20|宏达国际电子股份有限公司|Handheld electronic device and method for calibrating input of webpage address|

---

GB2504256B|2011-05-04|2019-12-25|Blackberry Ltd|Methods for adjusting a presentation of graphical data displayed on a graphical user interface|

---

US8150385B1|2011-05-09|2012-04-03|Loment, Inc.|Automated reply messages among end user communication devices|

---

US8171137B1|2011-05-09|2012-05-01|Google Inc.|Transferring application state across devices|

---

US9165074B2|2011-05-10|2015-10-20|Uber Technologies, Inc.|Systems and methods for performing geo-search and retrieval of electronic point-of-interest records using a big index|

---

KR101233561B1|2011-05-12|2013-02-14|엔에이치엔|Speech recognition system and method based on word-level candidate generation|

---

WO2012155079A2|2011-05-12|2012-11-15|Johnson Controls Technology Company|Adaptive voice recognition systems and methods|

---

EP2707821A4|2011-05-13|2015-04-08|David Plimpton|Calendar-based search engine|

---

US20120290291A1|2011-05-13|2012-11-15|Gabriel Lee Gilbert Shelley|Input processing for character matching and predicted word matching|

---

US8793624B2|2011-05-18|2014-07-29|Google Inc.|Control of a device using gestures|

---

US8972240B2|2011-05-19|2015-03-03|Microsoft Corporation|User-modifiable word lattice display for editing documents and search queries|

---

US8914290B2|2011-05-20|2014-12-16|Vocollect, Inc.|Systems and methods for dynamically improving user intelligibility of synthesized speech in a work environment|

---

US20120304124A1|2011-05-23|2012-11-29|Microsoft Corporation|Context aware input engine|

---

US9236045B2|2011-05-23|2016-01-12|Nuance Communications, Inc.|Methods and apparatus for proofing of a text input|

---

US8731936B2|2011-05-26|2014-05-20|Microsoft Corporation|Energy-efficient unobtrusive identification of a speaker|

---

US9164983B2|2011-05-27|2015-10-20|Robert Bosch Gmbh|Broad-coverage normalization system for social media language|

---

US10241644B2|2011-06-03|2019-03-26|Apple Inc.|Actionable reminder entries|

---

JP5463385B2|2011-06-03|2014-04-09|アップルインコーポレイテッド|Automatic creation of mapping between text data and audio data|

---

US10057736B2|2011-06-03|2018-08-21|Apple Inc.|Active transport based notifications|

---

US10255566B2|2011-06-03|2019-04-09|Apple Inc.|Generating and processing task items that represent tasks to perform|

---

US9268857B2|2011-06-03|2016-02-23|Facebook, Inc.|Suggesting search results to users before receiving any search query from the users|

---

US20120310642A1|2011-06-03|2012-12-06|Apple Inc.|Automatically creating a mapping between text data and audio data|

---

US8751971B2|2011-06-05|2014-06-10|Apple Inc.|Devices, methods, and graphical user interfaces for providing accessibility using a touch-sensitive surface|

---

US20120317498A1|2011-06-07|2012-12-13|Research In Motion Limited|Electronic communication device and method for displaying icons|

---

US8781841B1|2011-06-07|2014-07-15|Cisco Technology, Inc.|Name recognition of virtual meeting participants|

---

US8732319B2|2011-06-10|2014-05-20|Qualcomm Incorporated|Context awareness proximity-based establishment of wireless communication connection|

---

US20120316875A1|2011-06-10|2012-12-13|Red Shift Company, Llc|Hosted speech handling|

---

WO2012170817A1|2011-06-10|2012-12-13|Google Inc.|Augmenting statistical machine translation with linguistic knowledge|

---

US20130158977A1|2011-06-14|2013-06-20|Andrew Senior|System and Method for Evaluating Speech Exposure|

---

US9201862B2|2011-06-16|2015-12-01|Asociacion Instituto Tecnologico De Informatica|Method for symbolic correction in human-machine interfaces|

---

US20120324391A1|2011-06-16|2012-12-20|Microsoft Corporation|Predictive word completion|

---

US20120321112A1|2011-06-16|2012-12-20|Apple Inc.|Selecting a digital stream based on an audio sample|

---

CN102237088B|2011-06-17|2013-10-23|盛乐信息技术（上海）有限公司|Device and method for acquiring speech recognition multi-information text|

---

US20120329529A1|2011-06-21|2012-12-27|GreatCall, Inc.|Gesture activate help process and system|

---

WO2012174738A1|2011-06-24|2012-12-27|Google Inc.|Evaluating query translations for cross-language query suggestion|

---

US10984387B2|2011-06-28|2021-04-20|Microsoft Technology Licensing, Llc|Automatic task extraction and calendar entry|

---

US20130007240A1|2011-06-30|2013-01-03|At&T Intellectual Property I, L.P.|Systems and methods to provide availability notifications for denied content requests|

---

ES2612714T3|2011-06-30|2017-05-18|Huawei Technologies Co., Ltd.|Method, device and multimedia data transmission system based on OTT|

---

US20130006633A1|2011-07-01|2013-01-03|Qualcomm Incorporated|Learning speech models for mobile device users|

---

DE102011078642A1|2011-07-05|2013-01-10|Robert Bosch Gmbh|Method for checking an m out of n code|

---

US9367824B2|2011-07-05|2016-06-14|Sap Se|Provisioning and performing action items|

---

DE112011105407T5|2011-07-05|2014-04-30|Mitsubishi Electric Corporation|Speech recognition device and navigation device|

---

US8209183B1|2011-07-07|2012-06-26|Google Inc.|Systems and methods for correction of text from different input types, sources, and contexts|

---

US20130010575A1|2011-07-07|2013-01-10|International Business Machines Corporation|Systems and methods of managing electronic calendar applications|

---

US8682670B2|2011-07-07|2014-03-25|International Business Machines Corporation|Statistical enhancement of speech output from a statistical text-to-speech synthesis system|

---

US8665212B2|2011-07-08|2014-03-04|Blackberry Limited|Systems and methods for locking an electronic device|

---

US20130018659A1|2011-07-12|2013-01-17|Google Inc.|Systems and Methods for Speech Command Processing|

---

US8812474B2|2011-07-14|2014-08-19|Nuance Communications, Inc.|Methods and apparatus for identifying and providing information sought by a user|

---

DE102012212514A1|2011-07-18|2013-02-21|Logitech Europe S.A.|Remote control user interface for handheld device|

---

CA2747153A1|2011-07-19|2013-01-19|Suleman Kaheer|Natural language processing dialog system for obtaining goods, services or information|

---

US20130024576A1|2011-07-22|2013-01-24|Microsoft Corporation|Proximity-Based Detection|

---

US8781810B2|2011-07-25|2014-07-15|Xerox Corporation|System and method for productive generation of compound words in statistical machine translation|

---

US20130031476A1|2011-07-25|2013-01-31|Coin Emmett|Voice activated virtual assistant|

---

US8732028B2|2011-07-26|2014-05-20|Expose Retail Strategies Inc.|Scheduling of order processing for remotely ordered goods|

---

US9009041B2|2011-07-26|2015-04-14|Nuance Communications, Inc.|Systems and methods for improving the accuracy of a transcription using auxiliary data such as personal data|

---

EP2551784A1|2011-07-28|2013-01-30|Roche Diagnostics GmbH|Method of controlling the display of a dataset|

---

US20130030880A1|2011-07-28|2013-01-31|American Express Travel Related Services Company, Inc.|Systems and methods for generating and using a digital pass|

---

US9292112B2|2011-07-28|2016-03-22|Hewlett-Packard Development Company, L.P.|Multimodal interface|

---

WO2013013290A1|2011-07-28|2013-01-31|Research In Motion Limited|Methods and devices for facilitating communications|

---

US20130030789A1|2011-07-29|2013-01-31|Reginald Dalce|Universal Language Translator|

---

CN102905499B|2011-07-29|2015-12-09|纬创资通股份有限公司|Vertical card module and electronic installation|

---

US20130030913A1|2011-07-29|2013-01-31|Guangyu Zhu|Deriving Ads Ranking of Local Advertisers based on Distance and Aggregate User Activities|

---

US20130031216A1|2011-07-29|2013-01-31|Myxer, Inc.|Systems and methods for generation of customized media playlists|

---

US20130035117A1|2011-08-04|2013-02-07|GM Global Technology Operations LLC|System and method for restricting driver mobile device feature usage while vehicle is in motion|

---

EP2986014A1|2011-08-05|2016-02-17|Samsung Electronics Co., Ltd.|Method for controlling electronic apparatus based on voice recognition and motion recognition, and electronic apparatus applying the same|

---

WO2013022218A2|2011-08-05|2013-02-14|Samsung Electronics Co., Ltd.|Electronic apparatus and method for providing user interface thereof|

---

WO2013022222A2|2011-08-05|2013-02-14|Samsung Electronics Co., Ltd.|Method for controlling electronic apparatus based on motion recognition, and electronic apparatus applying the same|

---

US9417754B2|2011-08-05|2016-08-16|P4tents1, LLC|User interface system, method, and computer program product|

---

US8595015B2|2011-08-08|2013-11-26|Verizon New Jersey Inc.|Audio communication assessment|

---

CN102929710B|2011-08-09|2017-10-27|中兴通讯股份有限公司|A kind of method and mobile terminal for calling application module|

---

WO2013022135A1|2011-08-11|2013-02-14|Lg Electronics Inc.|Electronic device and method of controlling the same|

---

US8706472B2|2011-08-11|2014-04-22|Apple Inc.|Method for disambiguating multiple readings in language conversion|

---

US8589160B2|2011-08-19|2013-11-19|Dolbey & Company, Inc.|Systems and methods for providing an electronic dictation interface|

---

US20130055099A1|2011-08-22|2013-02-28|Rose Yao|Unified Messaging System with Integration of Call Log Data|

---

US8943071B2|2011-08-23|2015-01-27|At&T Intellectual Property I, L.P.|Automatic sort and propagation associated with electronic documents|

---

US9195768B2|2011-08-26|2015-11-24|Amazon Technologies, Inc.|Remote browsing session management|

---

US20130055147A1|2011-08-29|2013-02-28|Salesforce.Com, Inc.|Configuration, generation, and presentation of custom graphical user interface components for a virtual cloud-based application|

---

US20130054706A1|2011-08-29|2013-02-28|Mary Graham|Modulation of Visual Notification Parameters Based on Message Activity and Notification Value|

---

US8994660B2|2011-08-29|2015-03-31|Apple Inc.|Text correction processing|

---

US20130054631A1|2011-08-30|2013-02-28|Microsoft Corporation|Adding social network data to search suggestions|

---

US8819012B2|2011-08-30|2014-08-26|International Business Machines Corporation|Accessing anchors in voice site content|

---

US8554729B2|2011-08-31|2013-10-08|Google Inc.|System and method for synchronization of actions in the background of an application|

---

US8914288B2|2011-09-01|2014-12-16|At&T Intellectual Property I, L.P.|System and method for advanced turn-taking for interactive spoken dialog systems|

---

CN104025079A|2011-09-09|2014-09-03|谷歌公司|User interface for translation webpage|

---

US9596084B2|2011-09-09|2017-03-14|Facebook, Inc.|Initializing camera subsystem for face detection based on sensor inputs|

---

US20130066832A1|2011-09-12|2013-03-14|Microsoft Corporation|Application state synchronization|

---

US20130073346A1|2011-09-16|2013-03-21|David Chun|Identifying companies most closely related to a given company|

---

US20130073286A1|2011-09-20|2013-03-21|Apple Inc.|Consolidating Speech Recognition Results|

---

US9519453B2|2011-09-21|2016-12-13|Telefonaktiebolaget Lm Ericsson |Methods, devices and computer programs for transmitting or for receiving and playing media streams|

---

US8699963B2|2011-09-22|2014-04-15|Blackberry Limited|Mobile communication device with receiver speaker|

---

US8798995B1|2011-09-23|2014-08-05|Amazon Technologies, Inc.|Key word determinations from voice data|

---

US9129606B2|2011-09-23|2015-09-08|Microsoft Technology Licensing, Llc|User query history expansion for improving language model adaptation|

---

US20130080251A1|2011-09-26|2013-03-28|Accenture Global Services Limited|Product registration and tracking system|

---

US8812301B2|2011-09-26|2014-08-19|Xerox Corporation|Linguistically-adapted structural query annotation|

---

KR20130032966A|2011-09-26|2013-04-03|엘지전자 주식회사|Method and device for user interface|

---

US8996381B2|2011-09-27|2015-03-31|Sensory, Incorporated|Background speech recognition assistant|

---

US8768707B2|2011-09-27|2014-07-01|Sensory Incorporated|Background speech recognition assistant using speaker verification|

---

US8762156B2|2011-09-28|2014-06-24|Apple Inc.|Speech recognition repair using contextual information|

---

US20130086609A1|2011-09-29|2013-04-04|Viacom International Inc.|Integration of an Interactive Virtual Toy Box Advertising Unit and Digital Media Content|

---

US8452597B2|2011-09-30|2013-05-28|Google Inc.|Systems and methods for continual speech recognition and detection in mobile computing devices|

---

US8452602B1|2011-09-30|2013-05-28|Google Inc.|Structuring verbal commands to allow concatenation in a voice interface in a mobile device|

---

CN103035251A|2011-09-30|2013-04-10|西门子公司|Method for building voice transformation model and method and system for voice transformation|

---

AU2015203483A1|2011-09-30|2015-07-16|Apple Inc.|Using context information to facilitate processing of commands in a virtual assistant|

---

US8468022B2|2011-09-30|2013-06-18|Google Inc.|Voice control for asynchronous notifications|

---

US8340975B1|2011-10-04|2012-12-25|Theodore Alfred Rosenberger|Interactive speech recognition device and system for hands-free building control|

---

US8386926B1|2011-10-06|2013-02-26|Google Inc.|Network-based custom dictionary, auto-correction and text entry preferences|

---

WO2013052867A2|2011-10-07|2013-04-11|Rogers Henk B|Media tagging|

---

US9640175B2|2011-10-07|2017-05-02|Microsoft Technology Licensing, Llc|Pronunciation learning from user correction|

---

US8738363B2|2011-10-13|2014-05-27|Xerox Corporation|System and method for suggestion mining|

---

US9021565B2|2011-10-13|2015-04-28|At&T Intellectual Property I, L.P.|Authentication techniques utilizing a computing device|

---

US20130097566A1|2011-10-17|2013-04-18|Carl Fredrik Alexander BERGLUND|System and method for displaying items on electronic devices|

---

KR101873741B1|2011-10-26|2018-07-03|엘지전자 주식회사|Mobile terminal and method for controlling the same|

---

US8738376B1|2011-10-28|2014-05-27|Nuance Communications, Inc.|Sparse maximum a posteriori adaptation|

---

US20130111330A1|2011-11-01|2013-05-02|Research In Motion Limited|Accelerated compositing of fixed position elements on an electronic device|

---

US9223948B2|2011-11-01|2015-12-29|Blackberry Limited|Combined passcode and activity launch modifier|

---

US8996350B1|2011-11-02|2015-03-31|Dub Software Group, Inc.|System and method for automatic document management|

---

EP3157205B1|2011-11-02|2019-03-27|BlackBerry Limited|System and method for enabling voice and video communications using a messaging application|

---

US9471666B2|2011-11-02|2016-10-18|Salesforce.Com, Inc.|System and method for supporting natural language queries and requests against a user's personal data cloud|

---

US20130110943A1|2011-11-02|2013-05-02|Apple Inc.|Notification and reminder generation, distribution, and storage system|

---

CN103093334A|2011-11-04|2013-05-08|周超然|Method of activity notice text recognition and transforming automatically into calendar term|

---

JP5681611B2|2011-11-09|2015-03-11|株式会社日立製作所|Navigation system, navigation apparatus, method, and server|

---

US9711137B2|2011-11-10|2017-07-18|At&T Intellectual Property I, Lp|Network-based background expert|

---

US8863202B2|2011-11-11|2014-10-14|Sony Corporation|System and method for voice driven cross service search using second display|

---

US8996651B2|2011-11-12|2015-03-31|Yang Pan|System and method for delivering media assets in a cloud environment|

---

WO2013075071A1|2011-11-18|2013-05-23|Ayman Hammad|Mobile wallet store and service injection platform apparatuses, methods and systems|

---

US8972263B2|2011-11-18|2015-03-03|Soundhound, Inc.|System and method for performing dual mode speech recognition|

---

KR101467519B1|2011-11-21|2014-12-02|주식회사 케이티|Server and method for searching contents using voice information|

---

CN102510426A|2011-11-29|2012-06-20|安徽科大讯飞信息科技股份有限公司|Personal assistant application access method and system|

---

CN103135916A|2011-11-30|2013-06-05|英特尔公司|Intelligent graphical interface in handheld wireless device|

---

KR101830656B1|2011-12-02|2018-02-21|엘지전자 주식회사|Mobile terminal and control method for the same|

---

US9323746B2|2011-12-06|2016-04-26|At&T Intellectual Property I, L.P.|System and method for collaborative language translation|

---

KR101193668B1|2011-12-06|2012-12-14|위준성|Foreign language acquisition and learning service providing method based on context-aware using smart device|

---

US9214157B2|2011-12-06|2015-12-15|At&T Intellectual Property I, L.P.|System and method for machine-mediated human-human conversation|

---

US9082402B2|2011-12-08|2015-07-14|Sri International|Generic virtual personal assistant platform|

---

US9646313B2|2011-12-13|2017-05-09|Microsoft Technology Licensing, Llc|Gesture-based tagging to view related content|

---

US20130159847A1|2011-12-14|2013-06-20|International Business Machines Corporation|Dynamic Personal Dictionaries for Enhanced Collaboration|

---

WO2013090839A1|2011-12-14|2013-06-20|Realnetworks, Inc.|Customizable media auto-reply systems and methods|

---

US9408011B2|2011-12-19|2016-08-02|Qualcomm Incorporated|Automated user/sensor location recognition to customize audio performance in a distributed multi-sensor environment|

---

CN202453859U|2011-12-20|2012-09-26|安徽科大讯飞信息科技股份有限公司|Voice interaction device for home appliance|

---

US20150039295A1|2011-12-20|2015-02-05|Alona Soschen|Natural language processor|

---

US8622836B2|2011-12-22|2014-01-07|Igt|Use of wireless signal strength to determine connection|

---

JP2013134430A|2011-12-27|2013-07-08|Toyota Motor Corp|Device, method, and program for processing command|

---

US9094534B2|2011-12-29|2015-07-28|Apple Inc.|Device, method, and graphical user interface for configuring and implementing restricted interactions with a user interface|

---

US9836177B2|2011-12-30|2017-12-05|Next IT Innovation Labs, LLC|Providing variable responses in a virtual-assistant environment|

---

JP5790509B2|2012-01-05|2015-10-07|富士通株式会社|Image reproduction apparatus, image reproduction program, and image reproduction method|

---

JP5887937B2|2012-01-06|2016-03-16|株式会社リコー|Output control system, output control method, output control device, and output control program|

---

JP5547216B2|2012-01-06|2014-07-09|株式会社東芝|Electronic device and display control method|

---

US9547832B2|2012-01-10|2017-01-17|Oracle International Corporation|Identifying individual intentions and determining responses to individual intentions|

---

US8825020B2|2012-01-12|2014-09-02|Sensory, Incorporated|Information access and device control using mobile phones and audio in the home environment|

---

CN103209369A|2012-01-16|2013-07-17|晨星软件研发有限公司|Voice-controlled system of electronic device and related control method|

---

US8812302B2|2012-01-17|2014-08-19|Google Inc.|Techniques for inserting diacritical marks to text input via a user device|

---

EP2618239B1|2012-01-19|2016-10-05|BlackBerry Limited|Next letter prediction for virtual keyboard|

---

US20130204813A1|2012-01-20|2013-08-08|Fluential, Llc|Self-learning, context aware virtual assistants, systems and methods|

---

US9099098B2|2012-01-20|2015-08-04|Qualcomm Incorporated|Voice activity detection in presence of background noise|

---

US9423266B2|2012-01-26|2016-08-23|Telecommunication Systems, Inc.|Navigational lane guidance|

---

JP5682578B2|2012-01-27|2015-03-11|日本電気株式会社|Speech recognition result correction support system, speech recognition result correction support method, and speech recognition result correction support program|

---

US8745760B2|2012-01-30|2014-06-03|Cisco Technology, Inc.|Malware classification for unknown executable files|

---

US8626748B2|2012-02-03|2014-01-07|International Business Machines Corporation|Combined word tree text visualization system|

---

KR101900319B1|2012-02-07|2018-09-19|삼성전자 주식회사|Method for interoperably performing service and system supporting the same|

---

US9253135B2|2012-02-07|2016-02-02|Google Inc.|Notification management|

---

CN102629246B|2012-02-10|2017-06-27|百纳（武汉）信息技术有限公司|Recognize the server and browser voice command identification method of browser voice command|

---

US8995960B2|2012-02-10|2015-03-31|Dedo Interactive, Inc.|Mobile device authentication|

---

US10209954B2|2012-02-14|2019-02-19|Microsoft Technology Licensing, Llc|Equal access to speech and touch input|

---

US8682932B2|2012-02-16|2014-03-25|Oracle International Corporation|Mechanisms for searching enterprise data graphs|

---

JP2013167806A|2012-02-16|2013-08-29|Toshiba Corp|Information notification supporting device, information notification supporting method, and program|

---

US8832092B2|2012-02-17|2014-09-09|Bottlenose, Inc.|Natural language processing optimized for micro content|

---

US9064497B2|2012-02-22|2015-06-23|Htc Corporation|Method and apparatus for audio intelligibility enhancement and computing apparatus|

---

US9042867B2|2012-02-24|2015-05-26|Agnitio S.L.|System and method for speaker recognition on mobile devices|

---

US9910588B2|2012-02-24|2018-03-06|Blackberry Limited|Touchscreen keyboard providing word predictions in partitions of the touchscreen keyboard in proximate association with candidate letters|

---

KR101889836B1|2012-02-24|2018-08-20|삼성전자주식회사|Method and apparatus for cotrolling lock/unlock state of terminal through voice recognition|

---

US10984337B2|2012-02-29|2021-04-20|Microsoft Technology Licensing, Llc|Context-based search query formation|

---

US8543398B1|2012-02-29|2013-09-24|Google Inc.|Training an automatic speech recognition system using compressed word frequencies|

---

US10134385B2|2012-03-02|2018-11-20|Apple Inc.|Systems and methods for name pronunciation|

---

US20130235987A1|2012-03-06|2013-09-12|Jose Arroniz-Escobar|Automatic machine to machine distribution of subscriber contact information|

---

US9483461B2|2012-03-06|2016-11-01|Apple Inc.|Handling speech synthesis of content for multiple languages|

---

US20130238326A1|2012-03-08|2013-09-12|Lg Electronics Inc.|Apparatus and method for multiple device voice control|

---

US8775177B1|2012-03-08|2014-07-08|Google Inc.|Speech recognition process|

---

US9639174B2|2012-03-09|2017-05-02|Paypal, Inc.|Mobile device display content based on shaking the device|

---

WO2013136532A1|2012-03-14|2013-09-19|Nec Corporation|Term synonym acquisition method and term synonym acquisition apparatus|

---

WO2013138633A1|2012-03-15|2013-09-19|Regents Of The University Of Minnesota|Automated verbal fluency assessment|

---

EP2639792A1|2012-03-16|2013-09-18|France Télécom|Voice control of applications by associating user input with action-context idendifier pairs|

---

US9223497B2|2012-03-16|2015-12-29|Blackberry Limited|In-context word prediction and word correction|

---

US8898064B1|2012-03-19|2014-11-25|Rawles Llc|Identifying candidate passwords from captured audio|

---

JP5870790B2|2012-03-19|2016-03-01|富士通株式会社|Sentence proofreading apparatus and proofreading method|

---

JP2013200423A|2012-03-23|2013-10-03|Toshiba Corp|Voice interaction support device, method and program|

---

US20130343720A1|2012-03-26|2013-12-26|Customplay Llc|Providing Plot Explanation Within A Video|

---

JP5965175B2|2012-03-27|2016-08-03|ヤフー株式会社|Response generation apparatus, response generation method, and response generation program|

---

US8681950B2|2012-03-28|2014-03-25|Interactive Intelligence, Inc.|System and method for fingerprinting datasets|

---

WO2013144759A1|2012-03-29|2013-10-03|Telmap Ltd.|Location-based assistance for personal planning|

---

US8881269B2|2012-03-31|2014-11-04|Apple Inc.|Device, method, and graphical user interface for integrating recognition of handwriting gestures with a screen reader|

---

US8346563B1|2012-04-10|2013-01-01|Artificial Solutions Ltd.|System and methods for delivering advanced natural language interaction applications|

---

US8892419B2|2012-04-10|2014-11-18|Artificial Solutions Iberia SL|System and methods for semiautomatic generation and tuning of natural language interaction applications|

---

US20130275117A1|2012-04-11|2013-10-17|Morgan H. Winer|Generalized Phonetic Transliteration Engine|

---

US8996729B2|2012-04-12|2015-03-31|Nokia Corporation|Method and apparatus for synchronizing tasks performed by multiple devices|

---

US8918321B2|2012-04-13|2014-12-23|At&T Intellectual Property I, L.P.|System and method for enhancing speech recognition accuracy|

---

US9685160B2|2012-04-16|2017-06-20|Htc Corporation|Method for offering suggestion during conversation, electronic device using the same, and non-transitory storage medium|

---

US9223537B2|2012-04-18|2015-12-29|Next It Corporation|Conversation user interface|

---

US20130282709A1|2012-04-18|2013-10-24|Yahoo! Inc.|Method and system for query suggestion|

---

WO2013155619A1|2012-04-20|2013-10-24|Sam Pasupalak|Conversational agent|

---

US9117449B2|2012-04-26|2015-08-25|Nuance Communications, Inc.|Embedded system for construction of small footprint speech recognition with user-definable constraints|

---

CN102682771B|2012-04-27|2013-11-20|厦门思德电子科技有限公司|Multi-speech control method suitable for cloud platform|

---

TWI511537B|2012-04-27|2015-12-01|Wistron Corp|Smart tv system, smart tv, mobile device and input operation method thereof|

---

US20130289991A1|2012-04-30|2013-10-31|International Business Machines Corporation|Application of Voice Tags in a Social Media Context|

---

US20130285916A1|2012-04-30|2013-10-31|Research In Motion Limited|Touchscreen keyboard providing word predictions at locations in association with candidate letters|

---

KR101946364B1|2012-05-01|2019-02-11|엘지전자 주식회사|Mobile device for having at least one microphone sensor and method for controlling the same|

---

KR101977072B1|2012-05-07|2019-05-10|엘지전자 주식회사|Method for displaying text associated with audio file and electronic device|

---

US9406299B2|2012-05-08|2016-08-02|Nuance Communications, Inc.|Differential acoustic model representation and linear transform-based adaptation for efficient user profile update techniques in automatic speech recognition|

---

US8732560B2|2012-05-08|2014-05-20|Infineon Technologies Ag|Method and device for correction of ternary stored binary data|

---

US9423870B2|2012-05-08|2016-08-23|Google Inc.|Input determination method|

---

WO2013169842A2|2012-05-09|2013-11-14|Yknots Industries Llc|Device, method, and graphical user interface for selecting object within a group of objects|

---

WO2013169843A1|2012-05-09|2013-11-14|Yknots Industries Llc|Device, method, and graphical user interface for manipulating framed graphical objects|

---

WO2013169043A1|2012-05-10|2013-11-14|엘지전자 주식회사|Method and apparatus for downloading content using nfc|

---

US8725808B2|2012-05-10|2014-05-13|Intel Mobile Communications GmbH|Method for transferring data between a first device and a second device|

---

JP5996262B2|2012-05-11|2016-09-21|シャープ株式会社|CHARACTER INPUT DEVICE, ELECTRONIC DEVICE, CONTROL METHOD, CONTROL PROGRAM, AND RECORDING MEDIUM|

---

US9746916B2|2012-05-11|2017-08-29|Qualcomm Incorporated|Audio user interaction recognition and application interface|

---

US9002768B2|2012-05-12|2015-04-07|Mikhail Fedorov|Human-computer interface system|

---

US8897822B2|2012-05-13|2014-11-25|Wavemarket, Inc.|Auto responder|

---

US9280610B2|2012-05-14|2016-03-08|Apple Inc.|Crowd sourcing information to fulfill user requests|

---

US20130308922A1|2012-05-15|2013-11-21|Microsoft Corporation|Enhanced video discovery and productivity through accessibility|

---

US8775442B2|2012-05-15|2014-07-08|Apple Inc.|Semantic search using a single-source semantic model|

---

US10417037B2|2012-05-15|2019-09-17|Apple Inc.|Systems and methods for integrating third party services with a digital assistant|

---

US20130307855A1|2012-05-16|2013-11-21|Mathew J. Lamb|Holographic story telling|

---

TWI466101B|2012-05-18|2014-12-21|Asustek Comp Inc|Method and system for speech recognition|

---

US20120296638A1|2012-05-18|2012-11-22|Ashish Patwa|Method and system for quickly recognizing and responding to user intents and questions from natural language input using intelligent hierarchical processing and personalized adaptive semantic interface|

---

US9247306B2|2012-05-21|2016-01-26|Intellectual Ventures Fund 83 Llc|Forming a multimedia product using video chat|

---

US8484573B1|2012-05-23|2013-07-09|Google Inc.|Predictive virtual keyboard|

---

US8850037B2|2012-05-24|2014-09-30|Fmr Llc|Communication session transfer between devices|

---

US9374448B2|2012-05-27|2016-06-21|Qualcomm Incorporated|Systems and methods for managing concurrent audio messages|

---

US9173074B2|2012-05-27|2015-10-27|Qualcomm Incorporated|Personal hub presence and response|

---

KR20130133629A|2012-05-29|2013-12-09|삼성전자주식회사|Method and apparatus for executing voice command in electronic device|

---

US20130325436A1|2012-05-29|2013-12-05|Wright State University|Large Scale Distributed Syntactic, Semantic and Lexical Language Models|

---

US9307293B2|2012-05-30|2016-04-05|Palo Alto Research Center Incorporated|Collaborative video application for remote servicing|

---

US8843371B2|2012-05-31|2014-09-23|Elwha Llc|Speech recognition adaptation systems based on adaptation data|

---

US20130325447A1|2012-05-31|2013-12-05|Elwha LLC, a limited liability corporation of the State of Delaware|Speech recognition adaptation systems based on adaptation data|

---

CN102750087A|2012-05-31|2012-10-24|华为终端有限公司|Method, device and terminal device for controlling speech recognition function|

---

US8768693B2|2012-05-31|2014-07-01|Yahoo! Inc.|Automatic tag extraction from audio annotated photos|

---

CN103455234A|2012-06-01|2013-12-18|腾讯科技（深圳）有限公司|Method and device for displaying application program interfaces|

---

US9123338B1|2012-06-01|2015-09-01|Google Inc.|Background audio identification for speech disambiguation|

---

US10156455B2|2012-06-05|2018-12-18|Apple Inc.|Context-aware voice guidance|

---

US8725823B2|2012-06-05|2014-05-13|Forget You Not, LLC|Location-based communications|

---

US8515750B1|2012-06-05|2013-08-20|Google Inc.|Realtime acoustic adaptation using stability measures|

---

US10444836B2|2012-06-07|2019-10-15|Nook Digital, Llc|Accessibility aids for users of electronic devices|

---

US20130332159A1|2012-06-08|2013-12-12|Apple Inc.|Using fan throttling to enhance dictation accuracy|

---

US9230218B2|2012-06-08|2016-01-05|Spotify Ab|Systems and methods for recognizing ambiguity in metadata|

---

US10019994B2|2012-06-08|2018-07-10|Apple Inc.|Systems and methods for recognizing textual identifiers within a plurality of words|

---

US9002380B2|2012-06-08|2015-04-07|Apple Inc.|Proximity-based notifications in a mobile device|

---

US20130332168A1|2012-06-08|2013-12-12|Samsung Electronics Co., Ltd.|Voice activated search and control for applications|

---

US9721563B2|2012-06-08|2017-08-01|Apple Inc.|Name recognition system|

---

US9674331B2|2012-06-08|2017-06-06|Apple Inc.|Transmitting data from an automated assistant to an accessory|

---

US9916514B2|2012-06-11|2018-03-13|Amazon Technologies, Inc.|Text recognition driven functionality|

---

US9183845B1|2012-06-12|2015-11-10|Amazon Technologies, Inc.|Adjusting audio signals based on a specific frequency range associated with environmental noise characteristics|

---

JP5921348B2|2012-06-13|2016-05-24|三菱電機株式会社|Video display terminal|

---

CN104603773A|2012-06-14|2015-05-06|诺基亚公司|Method and apparatus for associating interest tags with media items based on social diffusions among users|

---

JP5819261B2|2012-06-19|2015-11-18|株式会社Ｎｔｔドコモ|Function execution instruction system, function execution instruction method, and function execution instruction program|

---

US9734839B1|2012-06-20|2017-08-15|Amazon Technologies, Inc.|Routing natural language commands to the appropriate applications|

---

US9185501B2|2012-06-20|2015-11-10|Broadcom Corporation|Container-located information transfer module|

---

US20140012574A1|2012-06-21|2014-01-09|Maluuba Inc.|Interactive timeline for presenting and organizing tasks|

---

US20130346347A1|2012-06-22|2013-12-26|Google Inc.|Method to Predict a Communicative Action that is Most Likely to be Executed Given a Context|

---

US8606577B1|2012-06-25|2013-12-10|Google Inc.|Visual confirmation of voice recognized text input|

---

US9813882B1|2012-06-25|2017-11-07|Amazon Technologies, Inc.|Mobile notifications based upon notification content|

---

US20130346068A1|2012-06-25|2013-12-26|Apple Inc.|Voice-Based Image Tagging and Searching|

---

JP5972372B2|2012-06-25|2016-08-17|三菱電機株式会社|Car information system|

---

US20150201064A1|2012-06-26|2015-07-16|Blackberry Limited|Methods and apparatus to detect and add impact events to a calendar program|

---

US8819841B2|2012-06-26|2014-08-26|Google Inc.|Automated accounts for media playback|

---

CN102801853B|2012-06-27|2017-02-15|宇龙计算机通信科技有限公司|Mobile phone and method for automatically triggering task execution|

---

US20140006153A1|2012-06-27|2014-01-02|Infosys Limited|System for making personalized offers for business facilitation of an entity and methods thereof|

---

JP6050625B2|2012-06-28|2016-12-21|サターン ライセンシング エルエルシーＳａｔｕｒｎ Ｌｉｃｅｎｓｉｎｇ ＬＬＣ|Information processing apparatus and information processing method, computer program, and information communication system|

---

KR101961139B1|2012-06-28|2019-03-25|엘지전자 주식회사|Mobile terminal and method for recognizing voice thereof|

---

US9495129B2|2012-06-29|2016-11-15|Apple Inc.|Device, method, and user interface for voice-activated navigation and browsing of a document|

---

US9996628B2|2012-06-29|2018-06-12|Verisign, Inc.|Providing audio-activated resource access for user devices based on speaker voiceprint|

---

US9426229B2|2012-06-29|2016-08-23|Nokia Technologies Oy|Apparatus and method for selection of a device for content sharing operations|

---

JP5852930B2|2012-06-29|2016-02-03|Kddi株式会社|Input character estimation apparatus and program|

---

US10620797B2|2012-06-29|2020-04-14|Spotify Ab|Systems and methods for multi-context media control and playback|

---

US9195383B2|2012-06-29|2015-11-24|Spotify Ab|Systems and methods for multi-path control signals for media presentation devices|

---

US20140006012A1|2012-07-02|2014-01-02|Microsoft Corporation|Learning-Based Processing of Natural Language Questions|

---

US9536528B2|2012-07-03|2017-01-03|Google Inc.|Determining hotword suitability|

---

KR20140004515A|2012-07-03|2014-01-13|삼성전자주식회사|Display apparatus, interactive server and method for providing response information|

---

KR101972955B1|2012-07-03|2019-04-26|삼성전자 주식회사|Method and apparatus for connecting service between user devices using voice|

---

US9064493B2|2012-07-09|2015-06-23|Nuance Communications, Inc.|Detecting potential significant errors in speech recognition results|

---

CN103544140A|2012-07-12|2014-01-29|国际商业机器公司|Data processing method, display method and corresponding devices|

---

US20140019460A1|2012-07-12|2014-01-16|Yahoo! Inc.|Targeted search suggestions|

---

US9053708B2|2012-07-18|2015-06-09|International Business Machines Corporation|System, method and program product for providing automatic speech recognition in a shared resource environment|

---

US20140026101A1|2012-07-20|2014-01-23|Barnesandnoble.Com Llc|Accessible Menu Navigation Techniques For Electronic Devices|

---

US9953584B2|2012-07-24|2018-04-24|Nook Digital, Llc|Lighting techniques for display devices|

---

US8892480B2|2012-07-25|2014-11-18|Aro, Inc.|Contextual information provider|

---

JP2014026629A|2012-07-26|2014-02-06|Panasonic Corp|Input device and input support method|

---

US8589911B1|2012-07-26|2013-11-19|Google Inc.|Intent fulfillment|

---

IN2015DN00484A|2012-07-27|2015-06-26|Sony Corp|

---

US8442821B1|2012-07-27|2013-05-14|Google Inc.|Multi-frame prediction for hybrid neural network/hidden Markov models|

---

US8990343B2|2012-07-30|2015-03-24|Google Inc.|Transferring a state of an application from a first computing device to a second computing device|

---

US9465833B2|2012-07-31|2016-10-11|Veveo, Inc.|Disambiguating user intent in conversational interaction system for large corpus information retrieval|

---

US20140039893A1|2012-07-31|2014-02-06|Sri International|Personalized Voice-Driven User Interfaces for Remote Multi-User Services|

---

US8831957B2|2012-08-01|2014-09-09|Google Inc.|Speech recognition models based on location indicia|

---

US20140035823A1|2012-08-01|2014-02-06|Apple Inc.|Dynamic Context-Based Language Determination|

---

US9390174B2|2012-08-08|2016-07-12|Google Inc.|Search result ranking and presentation|

---

CN104704797B|2012-08-10|2018-08-10|纽昂斯通讯公司|Virtual protocol communication for electronic equipment|

---

US20140052791A1|2012-08-14|2014-02-20|International Business Machines Corporation|Task Based Filtering of Unwanted Electronic Communications|

---

US10163058B2|2012-08-14|2018-12-25|Sri International|Method, system and device for inferring a mobile user's current context and proactively providing assistance|

---

US9031848B2|2012-08-16|2015-05-12|Nuance Communications, Inc.|User interface for searching a bundled service content data source|

---

KR101922464B1|2012-08-16|2018-11-27|삼성전자주식회사|Method for transmitting and receiving message and an electronic device thereof|

---

US9292487B1|2012-08-16|2016-03-22|Amazon Technologies, Inc.|Discriminative language model pruning|

---

US9497515B2|2012-08-16|2016-11-15|Nuance Communications, Inc.|User interface for entertainment systems|

---

CN104170397B|2012-08-16|2017-10-24|纽昂斯通讯公司|A kind of method and computer-readable storage medium that search result is presented on an electronic device|

---

US20160357790A1|2012-08-20|2016-12-08|InsideSales.com, Inc.|Resolving and merging duplicate records using machine learning|

---

US9064006B2|2012-08-23|2015-06-23|Microsoft Technology Licensing, Llc|Translating natural language utterances to keyword search queries|

---

US9229924B2|2012-08-24|2016-01-05|Microsoft Technology Licensing, Llc|Word detection and domain dictionary recommendation|

---

US20150199960A1|2012-08-24|2015-07-16|Microsoft Corporation|I-Vector Based Clustering Training Data in Speech Recognition|

---

US20150227505A1|2012-08-27|2015-08-13|Hitachi, Ltd.|Word meaning relationship extraction device|

---

US20150208226A1|2012-08-28|2015-07-23|Nokia Corporation|Discovery method and apparatuses and system for discovery|

---

JP6393021B2|2012-08-28|2018-09-19|京セラ株式会社|Electronic device, control method, and control program|

---

US9026425B2|2012-08-28|2015-05-05|Xerox Corporation|Lexical and phrasal feature domain adaptation in statistical machine translation|

---

US9390370B2|2012-08-28|2016-07-12|International Business Machines Corporation|Training deep neural network acoustic models using distributed hessian-free optimization|

---

US9049295B1|2012-08-28|2015-06-02|West Corporation|Intelligent interactive voice response system for processing customer communications|

---

KR102081925B1|2012-08-29|2020-02-26|엘지전자 주식회사|display device and speech search method thereof|

---

US10026394B1|2012-08-31|2018-07-17|Amazon Technologies, Inc.|Managing dialogs on a speech recognition platform|

---

US9218333B2|2012-08-31|2015-12-22|Microsoft Technology Licensing, Llc|Context sensitive auto-correction|

---

KR101398218B1|2012-09-03|2014-05-22|경희대학교 산학협력단|Apparatus and method for emotional speech recognition|

---

US8826415B2|2012-09-04|2014-09-02|Apple Inc.|Automated device access|

---

US9536049B2|2012-09-07|2017-01-03|Next It Corporation|Conversational virtual healthcare assistant|

---

US9325809B1|2012-09-07|2016-04-26|Mindmeld, Inc.|Audio recall during voice conversations|

---

US8600746B1|2012-09-10|2013-12-03|Google Inc.|Speech recognition parameter adjustment|

---

US20150088523A1|2012-09-10|2015-03-26|Google Inc.|Systems and Methods for Designing Voice Applications|

---

US20140074466A1|2012-09-10|2014-03-13|Google Inc.|Answering questions using environmental context|

---

US9576574B2|2012-09-10|2017-02-21|Apple Inc.|Context-sensitive handling of interruptions by intelligent digital assistant|

---

US20140074470A1|2012-09-11|2014-03-13|Google Inc.|Phonetic pronunciation|

---

US20140074472A1|2012-09-12|2014-03-13|Chih-Hung Lin|Voice control system with portable voice control device|

---

US20140078065A1|2012-09-15|2014-03-20|Ahmet Akkok|Predictive Keyboard With Suppressed Keys|

---

JP6057637B2|2012-09-18|2017-01-11|株式会社アイ・オー・データ機器|Portable information terminal device, function switching method, and function switching program|

---

US9519641B2|2012-09-18|2016-12-13|Abbyy Development Llc|Photography recognition translation|

---

US9081482B1|2012-09-18|2015-07-14|Google Inc.|Text input suggestion ranking|

---

US9105268B2|2012-09-19|2015-08-11|24/7 Customer, Inc.|Method and apparatus for predicting intent in IVR using natural language queries|

---

US8823507B1|2012-09-19|2014-09-02|Amazon Technologies, Inc.|Variable notification alerts|

---

US9547647B2|2012-09-19|2017-01-17|Apple Inc.|Voice-based media searching|

---

US10042603B2|2012-09-20|2018-08-07|Samsung Electronics Co., Ltd.|Context aware service provision method and apparatus of user device|

---

US9076450B1|2012-09-21|2015-07-07|Amazon Technologies, Inc.|Directed audio for speech recognition|

---

US8983383B1|2012-09-25|2015-03-17|Rawles Llc|Providing hands-free service to multiple devices|

---

US9092415B2|2012-09-25|2015-07-28|Rovi Guides, Inc.|Systems and methods for automatic program recommendations based on user interactions|

---

US8983836B2|2012-09-26|2015-03-17|International Business Machines Corporation|Captioning using socially derived acoustic profiles|

---

JP2014072586A|2012-09-27|2014-04-21|Sharp Corp|Display device, display method, television receiver, program, and recording medium|

---

US8498864B1|2012-09-27|2013-07-30|Google Inc.|Methods and systems for predicting a text|

---

EP2901730A4|2012-09-27|2016-08-03|Aegis Mobility Inc|Mobile device context incorporating near field communications|

---

US9052964B2|2012-09-28|2015-06-09|International Business Machines Corporation|Device operability enhancement with alternative device utilization|

---

US20140095172A1|2012-10-01|2014-04-03|Nuance Communications, Inc.|Systems and methods for providing a voice agent user interface|

---

US10276157B2|2012-10-01|2019-04-30|Nuance Communications, Inc.|Systems and methods for providing a voice agent user interface|

---

US20140095171A1|2012-10-01|2014-04-03|Nuance Communications, Inc.|Systems and methods for providing a voice agent user interface|

---

US9230560B2|2012-10-08|2016-01-05|Nant Holdings Ip, Llc|Smart home automation systems and methods|

---

US8606568B1|2012-10-10|2013-12-10|Google Inc.|Evaluating pronouns in context|

---

US8543397B1|2012-10-11|2013-09-24|Google Inc.|Mobile device voice activation|

---

JP6066471B2|2012-10-12|2017-01-25|本田技研工業株式会社|Dialog system and utterance discrimination method for dialog system|

---

US8843845B2|2012-10-16|2014-09-23|Google Inc.|Multi-gesture text input prediction|

---

CN102882752A|2012-10-19|2013-01-16|天津光宏科技有限公司|Internet-of-things and android system based intelligent home system and control method|

---

WO2014064531A1|2012-10-22|2014-05-01|Spotify Ab|Systems and methods for pre-fetching media content|

---

US20150241962A1|2012-10-22|2015-08-27|Vid Scale, Inc.|User presence detection in mobile devices|

---

US9305439B2|2012-10-25|2016-04-05|Google Inc.|Configurable indicator on computing device|

---

US8527276B1|2012-10-25|2013-09-03|Google Inc.|Speech synthesis using deep neural networks|

---

US20140122086A1|2012-10-26|2014-05-01|Microsoft Corporation|Augmenting speech recognition with depth imaging|

---

US9459176B2|2012-10-26|2016-10-04|Azima Holdings, Inc.|Voice controlled vibration data analyzer systems and methods|

---

US20150228274A1|2012-10-26|2015-08-13|Nokia Technologies Oy|Multi-Device Speech Recognition|

---

KR102117841B1|2012-10-30|2020-06-02|삼성전자주식회사|Electronic device and control method thereof|

---

WO2014070872A2|2012-10-30|2014-05-08|Robert Bosch Gmbh|System and method for multimodal interaction with reduced distraction in operating vehicles|

---

KR101967917B1|2012-10-30|2019-08-13|삼성전자주식회사|Apparatas and method for recognizing a voice in an electronic device|

---

US10304465B2|2012-10-30|2019-05-28|Google Technology Holdings LLC|Voice control user interface for low power mode|

---

US9734151B2|2012-10-31|2017-08-15|Tivo Solutions Inc.|Method and system for voice based media search|

---

US20140122153A1|2012-10-31|2014-05-01|DoWhatILikeBest, LLC|Favorite and serendipitous event correlation and notification|

---

US8606576B1|2012-11-02|2013-12-10|Google Inc.|Communication log with extracted keywords from speech-to-text processing|

---

US9093069B2|2012-11-05|2015-07-28|Nuance Communications, Inc.|Privacy-sensitive speech model creation via aggregation of multiple user models|

---

JP6018881B2|2012-11-07|2016-11-02|株式会社日立製作所|Navigation device and navigation method|

---

US20140136987A1|2012-11-09|2014-05-15|Apple Inc.|Generation of a user interface based on contacts|

---

KR20140060995A|2012-11-13|2014-05-21|삼성전자주식회사|Rejection message providing method based on a situation and electronic device supporting the same|

---

US9247387B2|2012-11-13|2016-01-26|International Business Machines Corporation|Proximity based reminders|

---

US9275642B2|2012-11-13|2016-03-01|Unified Computer Intelligence Corporation|Voice-operated internet-ready ubiquitous computing device and method thereof|

---

US9235321B2|2012-11-14|2016-01-12|Facebook, Inc.|Animation sequence associated with content item|

---

KR20140061803A|2012-11-14|2014-05-22|삼성전자주식회사|Projection apparatus|

---

KR101709187B1|2012-11-14|2017-02-23|한국전자통신연구원|Spoken Dialog Management System Based on Dual Dialog Management using Hierarchical Dialog Task Library|

---

US9085303B2|2012-11-15|2015-07-21|Sri International|Vehicle personal assistant|

---

US9798799B2|2012-11-15|2017-10-24|Sri International|Vehicle personal assistant that interprets spoken natural language input based upon vehicle context|

---

US9032219B2|2012-11-16|2015-05-12|Nuance Communications, Inc.|Securing speech recognition data|

---

US8965754B2|2012-11-20|2015-02-24|International Business Machines Corporation|Text prediction using environment hints|

---

JP2014102669A|2012-11-20|2014-06-05|Toshiba Corp|Information processor, information processing method and program|

---

US10551928B2|2012-11-20|2020-02-04|Samsung Electronics Company, Ltd.|GUI transitions on wearable electronic device|

---

WO2014078965A1|2012-11-22|2014-05-30|8303142 Canada Inc.|System and method for managing several mobile devices simultaneously|

---

RU2530268C2|2012-11-28|2014-10-10|Общество с ограниченной ответственностью "Спиктуит"|Method for user training of information dialogue system|

---

US20140146200A1|2012-11-28|2014-05-29|Research In Motion Limited|Entries to an electronic calendar|

---

EP2926233A4|2012-11-29|2016-07-13|Edsense L L C|System and method for displaying multiple applications|

---

JP2014109889A|2012-11-30|2014-06-12|Toshiba Corp|Content retrieval device, content retrieval method and control program|

---

US9589149B2|2012-11-30|2017-03-07|Microsoft Technology Licensing, Llc|Combining personalization and privacy locally on devices|

---

US9159319B1|2012-12-03|2015-10-13|Amazon Technologies, Inc.|Keyword spotting with competitor models|

---

US9549323B2|2012-12-03|2017-01-17|Samsung Electronics Co., Ltd.|Method and mobile terminal for controlling screen lock|

---

US9026429B2|2012-12-05|2015-05-05|Facebook, Inc.|Systems and methods for character string auto-suggestion based on degree of difficulty|

---

US9819786B2|2012-12-05|2017-11-14|Facebook, Inc.|Systems and methods for a symbol-adaptable keyboard|

---

US8930181B2|2012-12-06|2015-01-06|Prashant Parikh|Automatic dynamic contextual data entry completion|

---

US9244905B2|2012-12-06|2016-01-26|Microsoft Technology Licensing, Llc|Communication context based predictive-text suggestion|

---

US8615221B1|2012-12-06|2013-12-24|Google Inc.|System and method for selection of notification techniques in an electronic device|

---

US20140164476A1|2012-12-06|2014-06-12|At&T Intellectual Property I, Lp|Apparatus and method for providing a virtual assistant|

---

US20140163951A1|2012-12-07|2014-06-12|Xerox Corporation|Hybrid adaptation of named entity recognition|

---

US9471559B2|2012-12-10|2016-10-18|International Business Machines Corporation|Deep analysis of natural language questions for question answering system|

---

KR102091003B1|2012-12-10|2020-03-19|삼성전자 주식회사|Method and apparatus for providing context aware service using speech recognition|

---

US9679300B2|2012-12-11|2017-06-13|Nuance Communications, Inc.|Systems and methods for virtual agent recommendation for multiple persons|

---

US9276802B2|2012-12-11|2016-03-01|Nuance Communications, Inc.|Systems and methods for sharing information between virtual agents|

---

US9704486B2|2012-12-11|2017-07-11|Amazon Technologies, Inc.|Speech recognition power management|

---

US9697827B1|2012-12-11|2017-07-04|Amazon Technologies, Inc.|Error reduction in speech processing|

---

US20140164532A1|2012-12-11|2014-06-12|Nuance Communications, Inc.|Systems and methods for virtual agent participation in multiparty conversation|

---

US9148394B2|2012-12-11|2015-09-29|Nuance Communications, Inc.|Systems and methods for user interface presentation of virtual agent|

---

US9659298B2|2012-12-11|2017-05-23|Nuance Communications, Inc.|Systems and methods for informing virtual agent recommendation|

---

US9190057B2|2012-12-12|2015-11-17|Amazon Technologies, Inc.|Speech model retrieval in distributed speech recognition systems|

---

US9117450B2|2012-12-12|2015-08-25|Nuance Communications, Inc.|Combining re-speaking, partial agent transcription and ASR for improved accuracy / human guided ASR|

---

KR102014778B1|2012-12-14|2019-08-27|엘지전자 주식회사|Digital device for providing text messaging service and the method for controlling the same|

---

US9141660B2|2012-12-17|2015-09-22|International Business Machines Corporation|Intelligent evidence classification and notification in a deep question answering system|

---

US9213754B1|2012-12-17|2015-12-15|Google Inc.|Personalizing content items|

---

CN110223495A|2012-12-18|2019-09-10|三星电子株式会社|For the method and apparatus in domestic network system medium-long range control household equipment|

---

US9070366B1|2012-12-19|2015-06-30|Amazon Technologies, Inc.|Architecture for multi-domain utterance processing|

---

US9098467B1|2012-12-19|2015-08-04|Rawles Llc|Accepting voice commands based on user identity|

---

US8645138B1|2012-12-20|2014-02-04|Google Inc.|Two-pass decoding for speech recognition of search and action requests|

---

US8977555B2|2012-12-20|2015-03-10|Amazon Technologies, Inc.|Identification of utterance subjects|

---

WO2014096506A1|2012-12-21|2014-06-26|Nokia Corporation|Method, apparatus, and computer program product for personalizing speech recognition|

---

KR20140082157A|2012-12-24|2014-07-02|한국전자통신연구원|Apparatus for speech recognition using multiple acoustic model and method thereof|

---

JP2014126600A|2012-12-25|2014-07-07|Panasonic Corp|Voice recognition device, voice recognition method and television|

---

JP2014124332A|2012-12-26|2014-07-07|Daiichi Shokai Co Ltd|Game machine|

---

KR102301592B1|2012-12-29|2021-09-10|애플 인크.|Device, method, and graphical user interface for navigating user interface hierachies|

---

CN104885050B|2012-12-29|2017-12-08|苹果公司|For determining the equipment, method and the graphic user interface that are rolling or selection content|

---

EP2939095B1|2012-12-29|2018-10-03|Apple Inc.|Device, method, and graphical user interface for moving a cursor according to a change in an appearance of a control icon with simulated three-dimensional characteristics|

---

CN104903835B|2012-12-29|2018-05-04|苹果公司|For abandoning equipment, method and the graphic user interface of generation tactile output for more contact gestures|

---

US8571851B1|2012-12-31|2013-10-29|Google Inc.|Semantic interpretation using user gaze order|

---

CN103020047A|2012-12-31|2013-04-03|威盛电子股份有限公司|Method for revising voice response and natural language dialogue system|

---

US9497137B2|2013-01-04|2016-11-15|Sookbox, LLC|Digital content connectivity and control via a plurality of controllers that are treated discriminatively|

---

KR101892734B1|2013-01-04|2018-08-28|한국전자통신연구원|Method and apparatus for correcting error of recognition in speech recognition system|

---

KR20140093303A|2013-01-07|2014-07-28|삼성전자주식회사| display apparatus and method for controlling the display apparatus |

---

KR20140089862A|2013-01-07|2014-07-16|삼성전자주식회사| display apparatus and method for controlling the display apparatus |

---

US20140195233A1|2013-01-08|2014-07-10|Spansion Llc|Distributed Speech Recognition System|

---

WO2014109104A1|2013-01-08|2014-07-17|クラリオン株式会社|Voice recognition device, voice recognition program, and voice recognition method|

---

WO2014109017A1|2013-01-09|2014-07-17|三菱電機株式会社|Speech recognition device and display method|

---

US20140198047A1|2013-01-14|2014-07-17|Nuance Communications, Inc.|Reducing error rates for touch based keyboards|

---

US9292489B1|2013-01-16|2016-03-22|Google Inc.|Sub-lexical language models with word level pronunciation lexicons|

---

US8731912B1|2013-01-16|2014-05-20|Google Inc.|Delaying audio notifications|

---

US8942674B2|2013-01-18|2015-01-27|Blackberry Limited|Responding to incoming calls|

---

JP2014140121A|2013-01-21|2014-07-31|Sharp Corp|Conference supporting system|

---

US9047274B2|2013-01-21|2015-06-02|Xerox Corporation|Machine translation-driven authoring system and method|

---

US20140203939A1|2013-01-21|2014-07-24|Rtc Inc.|Control and monitoring of light-emitting-diode bulbs|

---

US9148499B2|2013-01-22|2015-09-29|Blackberry Limited|Method and system for automatically identifying voice tags through user operation|

---

EP2760015A1|2013-01-23|2014-07-30|BlackBerry Limited|Event-triggered hands-free multitasking for media playback|

---

US9530409B2|2013-01-23|2016-12-27|Blackberry Limited|Event-triggered hands-free multitasking for media playback|

---

US9165566B2|2013-01-24|2015-10-20|Microsoft Technology Licensing, Llc|Indefinite speech inputs|

---

DE102013001219B4|2013-01-25|2019-08-29|Inodyn Newmedia Gmbh|Method and system for voice activation of a software agent from a standby mode|

---

US9971495B2|2013-01-28|2018-05-15|Nook Digital, Llc|Context based gesture delineation for user interaction in eyes-free mode|

---

JP6251958B2|2013-01-28|2017-12-27|富士通株式会社|Utterance analysis device, voice dialogue control device, method, and program|

---

JP6115152B2|2013-01-29|2017-04-19|コニカミノルタ株式会社|Information processing system, information processing apparatus, information processing terminal, and program|

---

KR20140098947A|2013-01-31|2014-08-11|삼성전자주식회사|User terminal, advertisement providing system and method thereof|

---

JP2014150323A|2013-01-31|2014-08-21|Sharp Corp|Character input device|

---

US10055091B2|2013-02-01|2018-08-21|Microsoft Technology Licensing, Llc|Autosave and manual save modes for software applications|

---

US8694315B1|2013-02-05|2014-04-08|Visa International Service Association|System and method for authentication using speaker verification techniques and fraud model|

---

US20140218372A1|2013-02-05|2014-08-07|Apple Inc.|Intelligent digital assistant in a desktop environment|

---

US20140223481A1|2013-02-07|2014-08-07|United Video Properties, Inc.|Systems and methods for updating a search request|

---

CN113470640A|2013-02-07|2021-10-01|苹果公司|Voice trigger of digital assistant|

---

US9842489B2|2013-02-14|2017-12-12|Google Llc|Waking other devices for additional data|

---

US9408040B2|2013-02-14|2016-08-02|Fuji Xerox Co., Ltd.|Systems and methods for room-level location using WiFi|

---

US9791921B2|2013-02-19|2017-10-17|Microsoft Technology Licensing, Llc|Context-aware augmented reality object commands|

---

US10078437B2|2013-02-20|2018-09-18|Blackberry Limited|Method and apparatus for responding to a notification via a capacitive physical keyboard|

---

US20140236986A1|2013-02-21|2014-08-21|Apple Inc.|Natural language document search|

---

US9621619B2|2013-02-21|2017-04-11|International Business Machines Corporation|Enhanced notification for relevant communications|

---

US9734819B2|2013-02-21|2017-08-15|Google Technology Holdings LLC|Recognizing accented speech|

---

US9484023B2|2013-02-22|2016-11-01|International Business Machines Corporation|Conversion of non-back-off language models for efficient speech decoding|

---

US9672822B2|2013-02-22|2017-06-06|Next It Corporation|Interaction with a portion of a content item through a virtual assistant|

---

US20140245140A1|2013-02-22|2014-08-28|Next It Corporation|Virtual Assistant Transfer between Smart Devices|

---

US10585568B1|2013-02-22|2020-03-10|The Directv Group, Inc.|Method and system of bookmarking content in a mobile device|

---

US9865266B2|2013-02-25|2018-01-09|Nuance Communications, Inc.|Method and apparatus for automated speaker parameters adaptation in a deployed speaker verification system|

---

US9330659B2|2013-02-25|2016-05-03|Microsoft Technology Licensing, Llc|Facilitating development of a spoken natural language interface|

---

KR101383552B1|2013-02-25|2014-04-10|미디어젠|Speech recognition method of sentence having multiple instruction|

---

US9172747B2|2013-02-25|2015-10-27|Artificial Solutions Iberia SL|System and methods for virtual assistant networks|

---

US9280981B2|2013-02-27|2016-03-08|Blackberry Limited|Method and apparatus for voice control of a mobile device|

---

US10354677B2|2013-02-28|2019-07-16|Nuance Communications, Inc.|System and method for identification of intent segment in caller-agent conversations|

---

US9218819B1|2013-03-01|2015-12-22|Google Inc.|Customizing actions based on contextual data and voice-based inputs|

---

US9251467B2|2013-03-03|2016-02-02|Microsoft Technology Licensing, Llc|Probabilistic parsing|

---

US9460715B2|2013-03-04|2016-10-04|Amazon Technologies, Inc.|Identification using audio signatures and additional characteristics|

---

US9554050B2|2013-03-04|2017-01-24|Apple Inc.|Mobile device using images and location for reminders|

---

US9886968B2|2013-03-04|2018-02-06|Synaptics Incorporated|Robust speech boundary detection system and method|

---

US9454957B1|2013-03-05|2016-09-27|Amazon Technologies, Inc.|Named entity resolution in spoken language processing|

---

KR101952179B1|2013-03-05|2019-05-22|엘지전자 주식회사|Mobile terminal and control method for the mobile terminal|

---

US9293129B2|2013-03-05|2016-03-22|Microsoft Technology Licensing, Llc|Speech recognition assisted evaluation on text-to-speech pronunciation issue detection|

---

US10795528B2|2013-03-06|2020-10-06|Nuance Communications, Inc.|Task assistant having multiple visual displays|

---

CN104038621A|2013-03-06|2014-09-10|三星电子（中国）研发中心|Device and method for managing event information in communication terminal|

---

US20140257902A1|2013-03-08|2014-09-11|Baydin, Inc.|Systems and methods for incorporating calendar functionality into electronic messages|

---

US9496968B2|2013-03-08|2016-11-15|Google Inc.|Proximity detection by mobile devices|

---

US20140279622A1|2013-03-08|2014-09-18|Sudhakar Bharadwaj|System and method for semantic processing of personalized social data and generating probability models of personal context to generate recommendations in searching applications|

---

US9990611B2|2013-03-08|2018-06-05|Baydin, Inc.|Systems and methods for incorporating calendar functionality into electronic messages|

---

US9761225B2|2013-03-11|2017-09-12|Nuance Communications, Inc.|Semantic re-ranking of NLU results in conversational dialogue applications|

---

US9076459B2|2013-03-12|2015-07-07|Intermec Ip, Corp.|Apparatus and method to classify sound to detect speech|

---

US9112984B2|2013-03-12|2015-08-18|Nuance Communications, Inc.|Methods and apparatus for detecting a voice command|

---

EP3709293A1|2013-03-12|2020-09-16|Nuance Communications, Inc.|Methods and apparatus for detecting a voice command|

---

US9361885B2|2013-03-12|2016-06-07|Nuance Communications, Inc.|Methods and apparatus for detecting a voice command|

---

US10229697B2|2013-03-12|2019-03-12|Google Technology Holdings LLC|Apparatus and method for beamforming to obtain voice and noise signals|

---

US20140274203A1|2013-03-12|2014-09-18|Nuance Communications, Inc.|Methods and apparatus for detecting a voice command|

---

US9477753B2|2013-03-12|2016-10-25|International Business Machines Corporation|Classifier-based system combination for spoken term detection|

---

US9129013B2|2013-03-12|2015-09-08|Nuance Communications, Inc.|Methods and apparatus for entity detection|

---

US9282423B2|2013-03-13|2016-03-08|Aliphcom|Proximity and interface controls of media devices for media presentations|

---

US20140274005A1|2013-03-13|2014-09-18|Aliphcom|Intelligent connection management in wireless devices|

---

US10219100B2|2013-03-13|2019-02-26|Aliphcom|Determining proximity for devices interacting with media devices|

---

US9135248B2|2013-03-13|2015-09-15|Arris Technology, Inc.|Context demographic determination system|

---

US9378739B2|2013-03-13|2016-06-28|Nuance Communications, Inc.|Identifying corresponding positions in different representations of a textual work|

---

US9368114B2|2013-03-14|2016-06-14|Apple Inc.|Context-sensitive handling of interruptions|

---

US10572476B2|2013-03-14|2020-02-25|Apple Inc.|Refining a search based on schedule items|

---

US20140278349A1|2013-03-14|2014-09-18|Microsoft Corporation|Language Model Dictionaries for Text Predictions|

---

US10133546B2|2013-03-14|2018-11-20|Amazon Technologies, Inc.|Providing content on multiple devices|

---

US10652394B2|2013-03-14|2020-05-12|Apple Inc.|System and method for processing voicemail|

---

US9189196B2|2013-03-14|2015-11-17|Google Inc.|Compartmentalized self registration of external devices|

---

KR20140112910A|2013-03-14|2014-09-24|삼성전자주식회사|Input controlling Method and Electronic Device supporting the same|

---

US9842584B1|2013-03-14|2017-12-12|Amazon Technologies, Inc.|Providing content on multiple devices|

---

US9123345B2|2013-03-14|2015-09-01|Honda Motor Co., Ltd.|Voice interface systems and methods|

---

US10642574B2|2013-03-14|2020-05-05|Apple Inc.|Device, method, and graphical user interface for outputting captions|

---

US9733821B2|2013-03-14|2017-08-15|Apple Inc.|Voice control to diagnose inadvertent activation of accessibility features|

---

US20140267599A1|2013-03-14|2014-09-18|360Brandvision, Inc.|User interaction with a holographic poster via a secondary mobile device|

---

US9176649B2|2013-03-15|2015-11-03|American Megatrends, Inc.|Method and apparatus of remote management of computer system using voice and gesture based input|

---

CN105431809B|2013-03-15|2018-12-18|谷歌有限责任公司|Dummy keyboard for International Language inputs|

---

US9189157B2|2013-03-15|2015-11-17|Blackberry Limited|Method and apparatus for word prediction selection|

---

US20140279739A1|2013-03-15|2014-09-18|InsideSales.com, Inc.|Resolving and merging duplicate records using machine learning|

---

US20150314454A1|2013-03-15|2015-11-05|JIBO, Inc.|Apparatus and methods for providing a persistent companion device|

---

AU2014233517B2|2013-03-15|2017-05-25|Apple Inc.|Training an at least partial voice command system|

---

US9875741B2|2013-03-15|2018-01-23|Google Llc|Selective speech recognition for chat and digital personal assistant systems|

---

CA2910621A1|2013-03-15|2014-09-18|Adityo Prakash|Systems and methods for facilitating integrated behavioral support|

---

WO2014144579A1|2013-03-15|2014-09-18|Apple Inc.|System and method for updating an adaptive speech recognition model|

---

US9886160B2|2013-03-15|2018-02-06|Google Llc|Managing audio at the tab level for user notification and control|

---

US20160132046A1|2013-03-15|2016-05-12|Fisher-Rosemount Systems, Inc.|Method and apparatus for controlling a process plant with wearable mobile control devices|

---

US10638198B2|2013-03-15|2020-04-28|Ebay Inc.|Shoppable video|

---

WO2014143959A2|2013-03-15|2014-09-18|Bodhi Technology Ventures Llc|Volume control for mobile device using a wireless device|

---

US9201865B2|2013-03-15|2015-12-01|Bao Tran|Automated assistance for user request that determines semantics by domain, task, and parameter|

---

US9299041B2|2013-03-15|2016-03-29|Business Objects Software Ltd.|Obtaining data from unstructured data for a structured data collection|

---

US9355472B2|2013-03-15|2016-05-31|Apple Inc.|Device, method, and graphical user interface for adjusting the appearance of a control|

---

WO2014144395A2|2013-03-15|2014-09-18|Apple Inc.|User training by intelligent digital assistant|

---

US20140282203A1|2013-03-15|2014-09-18|Research In Motion Limited|System and method for predictive text input|

---

US9317585B2|2013-03-15|2016-04-19|Google Inc.|Search query suggestions based on personal information|

---

US9558743B2|2013-03-15|2017-01-31|Google Inc.|Integration of semantic context information|

---

US9378065B2|2013-03-15|2016-06-28|Advanced Elemental Technologies, Inc.|Purposeful computing|

---

US10078487B2|2013-03-15|2018-09-18|Apple Inc.|Context-sensitive handling of interruptions|

---

US20140288939A1|2013-03-20|2014-09-25|Navteq B.V.|Method and apparatus for optimizing timing of audio commands based on recognized audio patterns|

---

US9479499B2|2013-03-21|2016-10-25|Tencent Technology Company Limited|Method and apparatus for identity authentication via mobile capturing code|

---

JP6221301B2|2013-03-28|2017-11-01|富士通株式会社|Audio processing apparatus, audio processing system, and audio processing method|

---

CN103236260B|2013-03-29|2015-08-12|京东方科技集团股份有限公司|Speech recognition system|

---

US20140297288A1|2013-03-29|2014-10-02|Orange|Telephone voice personal assistant|

---

JP2014203207A|2013-04-03|2014-10-27|ソニー株式会社|Information processing unit, information processing method, and computer program|

---

US9300718B2|2013-04-09|2016-03-29|Avaya Inc.|System and method for keyword-based notification and delivery of content|

---

CN103198831A|2013-04-10|2013-07-10|威盛电子股份有限公司|Voice control method and mobile terminal device|

---

US10027723B2|2013-04-12|2018-07-17|Provenance Asset Group Llc|Method and apparatus for initiating communication and sharing of content among a plurality of devices|

---

US10564815B2|2013-04-12|2020-02-18|Nant Holdings Ip, Llc|Virtual teller systems and methods|

---

US10580243B2|2013-04-16|2020-03-03|Imageware Systems, Inc.|Conditional and situational biometric authentication and enrollment|

---

US8825474B1|2013-04-16|2014-09-02|Google Inc.|Text suggestion output using past interaction data|

---

US9875494B2|2013-04-16|2018-01-23|Sri International|Using intents to analyze and personalize a user's dialog experience with a virtual personal assistant|

---

US9760644B2|2013-04-17|2017-09-12|Google Inc.|Embedding event creation link in a document|

---

US20150193392A1|2013-04-17|2015-07-09|Google Inc.|User Interface for Quickly Checking Agenda and Creating New Events|

---

NL2010662C2|2013-04-18|2014-10-21|Bosch Gmbh Robert|Remote maintenance.|

---

US10445115B2|2013-04-18|2019-10-15|Verint Americas Inc.|Virtual assistant focused user interfaces|

---

US9177318B2|2013-04-22|2015-11-03|Palo Alto Research Center Incorporated|Method and apparatus for customizing conversation agents based on user characteristics using a relevance score for automatic statements, and a response prediction function|

---

US20140315492A1|2013-04-22|2014-10-23|Salesforce.Com, Inc.|Content delivery to a secondary device via a primary device|

---

US9075435B1|2013-04-22|2015-07-07|Amazon Technologies, Inc.|Context-aware notifications|

---

CN103280217B|2013-05-02|2016-05-04|锤子科技（北京）有限公司|A kind of audio recognition method of mobile terminal and device thereof|

---

US9384751B2|2013-05-06|2016-07-05|Honeywell International Inc.|User authentication of voice controlled devices|

---

US9472205B2|2013-05-06|2016-10-18|Honeywell International Inc.|Device voice recognition systems and methods|

---

KR20140132246A|2013-05-07|2014-11-17|삼성전자주식회사|Object selection method and object selection apparatus|

---

US9064495B1|2013-05-07|2015-06-23|Amazon Technologies, Inc.|Measurement of user perceived latency in a cloud based speech application|

---

US9223898B2|2013-05-08|2015-12-29|Facebook, Inc.|Filtering suggested structured queries on online social networks|

---

US9923849B2|2013-05-09|2018-03-20|Ebay Inc.|System and method for suggesting a phrase based on a context|

---

US9043211B2|2013-05-09|2015-05-26|Dsp Group Ltd.|Low power activation of a voice activated device|

---

US9489625B2|2013-05-10|2016-11-08|Sri International|Rapid development of virtual personal assistant applications|

---

US9081411B2|2013-05-10|2015-07-14|Sri International|Rapid development of virtual personal assistant applications|

---

JP2014219614A|2013-05-10|2014-11-20|アルパイン株式会社|Audio device, video device, and computer program|

---

US20140337751A1|2013-05-13|2014-11-13|Microsoft Corporation|Automatic creation of calendar items|

---

US20140343943A1|2013-05-14|2014-11-20|Saudi Arabian Oil Company|Systems, Computer Medium and Computer-Implemented Methods for Authenticating Users Using Voice Streams|

---

KR101334342B1|2013-05-16|2013-11-29|주식회사 네오패드|Apparatus and method for inputting character|

---

KR101825963B1|2013-05-16|2018-02-06|인텔 코포레이션|Techniques for natural user interface input based on context|

---

US9495266B2|2013-05-16|2016-11-15|Advantest Corporation|Voice recognition virtual test engineering assistant|

---

US9514470B2|2013-05-16|2016-12-06|Microsoft Technology Licensing, Llc|Enhanced search suggestion for personal information services|

---

US9432499B2|2013-05-18|2016-08-30|Loralee Hajdu|Peripheral specific selection of automated response messages|

---

US9607612B2|2013-05-20|2017-03-28|Intel Corporation|Natural human-computer interaction for virtual personal assistant systems|

---

US20150199077A1|2013-05-23|2015-07-16|Google Inc.|Scheduling and viewing a calender event using time zones based on a user's location at event time|

---

US20140350933A1|2013-05-24|2014-11-27|Samsung Electronics Co., Ltd.|Voice recognition apparatus and control method thereof|

---

US20140351760A1|2013-05-24|2014-11-27|Google Inc.|Order-independent text input|

---

US9747900B2|2013-05-24|2017-08-29|Google Technology Holdings LLC|Method and apparatus for using image data to aid voice recognition|

---

US20140358523A1|2013-05-30|2014-12-04|Wright State University|Topic-specific sentiment extraction|

---

US20140358519A1|2013-06-03|2014-12-04|Xerox Corporation|Confidence-driven rewriting of source texts for improved translation|

---

US9286029B2|2013-06-06|2016-03-15|Honda Motor Co., Ltd.|System and method for multimodal human-vehicle interaction and belief tracking|

---

US9582608B2|2013-06-07|2017-02-28|Apple Inc.|Unified ranking with entropy-weighted information for phrase-based semantic auto-completion|

---

US9267805B2|2013-06-07|2016-02-23|Apple Inc.|Modeling significant locations|

---

WO2014197334A2|2013-06-07|2014-12-11|Apple Inc.|System and method for user-specified pronunciation of words for speech synthesis and recognition|

---

WO2014197336A1|2013-06-07|2014-12-11|Apple Inc.|System and method for detecting errors in interactions with a voice-based digital assistant|

---

WO2014197335A1|2013-06-08|2014-12-11|Apple Inc.|Interpreting and acting upon commands that involve sharing information with remote devices|

---

US10176167B2|2013-06-09|2019-01-08|Apple Inc.|System and method for inferring user intent from speech inputs|

---

US9495620B2|2013-06-09|2016-11-15|Apple Inc.|Multi-script handwriting recognition using a universal recognizer|

---

US10481769B2|2013-06-09|2019-11-19|Apple Inc.|Device, method, and graphical user interface for providing navigation and search functionalities|

---

EP3008641A1|2013-06-09|2016-04-20|Apple Inc.|Device, method, and graphical user interface for enabling conversation persistence across two or more instances of a digital assistant|

---

US9477393B2|2013-06-09|2016-10-25|Apple Inc.|Device, method, and graphical user interface for displaying application status information|

---

KR20140144104A|2013-06-10|2014-12-18|삼성전자주식회사|Electronic apparatus and Method for providing service thereof|

---

US9892115B2|2013-06-11|2018-02-13|Facebook, Inc.|Translation training with cross-lingual multi-media support|

---

US9449600B2|2013-06-11|2016-09-20|Plantronics, Inc.|Character data entry|

---

US9508040B2|2013-06-12|2016-11-29|Microsoft Technology Licensing, Llc|Predictive pre-launch for applications|

---

WO2014200731A1|2013-06-13|2014-12-18|Apple Inc.|System and method for emergency calls initiated by voice command|

---

CN103292437B|2013-06-17|2016-01-20|广东美的制冷设备有限公司|Voice interactive air conditioner and control method thereof|

---

US9728184B2|2013-06-18|2017-08-08|Microsoft Technology Licensing, Llc|Restructuring deep neural network acoustic models|

---

EP3012833A4|2013-06-19|2016-06-29|Panasonic Ip Corp America|Voice interaction method, and device|

---

US9437186B1|2013-06-19|2016-09-06|Amazon Technologies, Inc.|Enhanced endpoint detection for speech recognition|

---

KR102160767B1|2013-06-20|2020-09-29|삼성전자주식회사|Mobile terminal and method for detecting a gesture to control functions|

---

KR20140147587A|2013-06-20|2014-12-30|한국전자통신연구원|A method and apparatus to detect speech endpoint using weighted finite state transducer|

---

US9633317B2|2013-06-20|2017-04-25|Viv Labs, Inc.|Dynamically evolving cognitive architecture system based on a natural language intent interpreter|

---

US20140379334A1|2013-06-20|2014-12-25|Qnx Software Systems Limited|Natural language understanding automatic speech recognition post processing|

---

US9311298B2|2013-06-21|2016-04-12|Microsoft Technology Licensing, Llc|Building conversational understanding systems using a toolset|

---

US10496743B2|2013-06-26|2019-12-03|Nuance Communications, Inc.|Methods and apparatus for extracting facts from a medical text|

---

US8947596B2|2013-06-27|2015-02-03|Intel Corporation|Alignment of closed captions|

---

US20150006148A1|2013-06-27|2015-01-01|Microsoft Corporation|Automatically Creating Training Data For Language Identifiers|

---

WO2014209157A1|2013-06-27|2014-12-31|Obschestvo S Ogranichennoy Otvetstvennostiyu "Speaktoit"|Generating dialog recommendations for chat information systems|

---

US9747899B2|2013-06-27|2017-08-29|Amazon Technologies, Inc.|Detecting self-generated wake expressions|

---

US10255930B2|2013-06-28|2019-04-09|Harman International Industries, Incorporated|Wireless control of linked devices|

---

US9741339B2|2013-06-28|2017-08-22|Google Inc.|Data driven word pronunciation learning and scoring with crowd sourcing based on the word's phonemes pronunciation scores|

---

US9646606B2|2013-07-03|2017-05-09|Google Inc.|Speech recognition using domain knowledge|

---

DE102014109121A1|2013-07-10|2015-01-15|Gm Global Technology Operations, Llc|Systems and methods for arbitrating a voice dialogue service|

---

US9396727B2|2013-07-10|2016-07-19|GM Global Technology Operations LLC|Systems and methods for spoken dialog service arbitration|

---

JP6102588B2|2013-07-10|2017-03-29|ソニー株式会社|Information processing apparatus, information processing method, and program|

---

CN103365279A|2013-07-10|2013-10-23|崔海伟|State detecting device and system and method for feeding back states of intelligent home system|

---

WO2015006196A1|2013-07-11|2015-01-15|Mophie, Inc.|Method and system for communicatively coupling a wearable computer with one or more non-wearable computers|

---

US9445209B2|2013-07-11|2016-09-13|Intel Corporation|Mechanism and apparatus for seamless voice wake and speaker verification|

---

TWI508057B|2013-07-15|2015-11-11|Chunghwa Picture Tubes Ltd|Speech recognition system and method|

---

US9311912B1|2013-07-22|2016-04-12|Amazon Technologies, Inc.|Cost efficient distributed text-to-speech processing|

---

US9407950B2|2013-07-23|2016-08-02|Microsoft Technology Licensing, Llc|Controlling devices in entertainment environment|

---

US20150032238A1|2013-07-23|2015-01-29|Motorola Mobility Llc|Method and Device for Audio Input Routing|

---

US9772994B2|2013-07-25|2017-09-26|Intel Corporation|Self-learning statistical natural language processing for automatic production of virtual personal assistants|

---

US9335983B2|2013-07-28|2016-05-10|Oded Haim Breiner|Method and system for displaying a non-installed android application and for requesting an action from a non-installed android application|

---

US9575720B2|2013-07-31|2017-02-21|Google Inc.|Visual confirmation for a recognized voice-initiated action|

---

US9311915B2|2013-07-31|2016-04-12|Google Inc.|Context-based speech recognition|

---

US20150039606A1|2013-08-01|2015-02-05|Vamsi Krishna Salaka|Search phrase modification|

---

TWI601032B|2013-08-02|2017-10-01|晨星半導體股份有限公司|Controller for voice-controlled device and associated method|

---

CN105493511A|2013-08-06|2016-04-13|萨罗尼科斯贸易与服务一人有限公司|System for controlling electronic devices by means of voice commands, more specifically a remote control to control a plurality of electronic devices by means of voice commands|

---

JP6163266B2|2013-08-06|2017-07-12|アップル インコーポレイテッド|Automatic activation of smart responses based on activation from remote devices|

---

US20150046828A1|2013-08-08|2015-02-12|Samsung Electronics Co., Ltd.|Contextualizing sensor, service and device data with mobile devices|

---

KR20150020872A|2013-08-19|2015-02-27|현대자동차주식회사|Control device and control method for function control of car|

---

WO2015026933A2|2013-08-21|2015-02-26|Honeywell International Inc.|Devices and methods for interacting with an hvac controller|

---

JP2015041845A|2013-08-21|2015-03-02|カシオ計算機株式会社|Character input device and program|

---

US9940927B2|2013-08-23|2018-04-10|Nuance Communications, Inc.|Multiple pass automatic speech recognition methods and apparatus|

---

US10192557B2|2013-08-26|2019-01-29|Samsung Electronics Co., Ltd|Electronic device and method for voice recognition using a plurality of voice recognition engines|

---

KR102147935B1|2013-08-29|2020-08-25|삼성전자주식회사|Method for processing data and an electronic device thereof|

---

JP6522503B2|2013-08-29|2019-05-29|パナソニック インテレクチュアル プロパティ コーポレーション オブ アメリカＰａｎａｓｏｎｉｃ Ｉｎｔｅｌｌｅｃｔｕａｌ Ｐｒｏｐｅｒｔｙ Ｃｏｒｐｏｒａｔｉｏｎ ｏｆ Ａｍｅｒｉｃａ|Device control method, display control method and purchase settlement method|

---

CN105453080A|2013-08-30|2016-03-30|英特尔公司|Extensible context-aware natural language interactions for virtual personal assistants|

---

US20150066506A1|2013-08-30|2015-03-05|Verint Systems Ltd.|System and Method of Text Zoning|

---

US10867597B2|2013-09-02|2020-12-15|Microsoft Technology Licensing, Llc|Assignment of semantic labels to a sequence of words using neural network architectures|

---

US10001817B2|2013-09-03|2018-06-19|Apple Inc.|User interface for manipulating user interface objects with magnetic properties|

---

CN105683876B|2013-09-03|2019-11-01|苹果公司|Crown for wearable electronic inputs|

---

US9316400B2|2013-09-03|2016-04-19|Panasonic Intellctual Property Corporation of America|Appliance control method, speech-based appliance control system, and cooking appliance|

---

US9633669B2|2013-09-03|2017-04-25|Amazon Technologies, Inc.|Smart circular audio buffer|

---

KR102065409B1|2013-09-04|2020-01-13|엘지전자 주식회사|Mobile terminal and method for controlling the same|

---

GB2517952B|2013-09-05|2017-05-31|Barclays Bank Plc|Biometric verification using predicted signatures|

---

US9460704B2|2013-09-06|2016-10-04|Google Inc.|Deep networks for unit selection speech synthesis|

---

US9208779B2|2013-09-06|2015-12-08|Google Inc.|Mixture of n-gram language models|

---

US9898642B2|2013-09-09|2018-02-20|Apple Inc.|Device, method, and graphical user interface for manipulating user interfaces based on fingerprint sensor inputs|

---

US9485708B2|2013-09-10|2016-11-01|Qualcomm Incorporated|Systems and methods for concurrent service discovery and minimum spanning tree formation for service delivery|

---

US20150074524A1|2013-09-10|2015-03-12|Lenovo Pte. Ltd.|Management of virtual assistant action items|

---

US9755605B1|2013-09-19|2017-09-05|Amazon Technologies, Inc.|Volume control|

---

WO2015041892A1|2013-09-20|2015-03-26|Rawles Llc|Local and remote speech processing|

---

CN104463552B|2013-09-22|2018-10-02|中国电信股份有限公司|Calendar reminding generation method and device|

---

US20150088511A1|2013-09-24|2015-03-26|Verizon Patent And Licensing Inc.|Named-entity based speech recognition|

---

US10134395B2|2013-09-25|2018-11-20|Amazon Technologies, Inc.|In-call virtual assistants|

---

US9418650B2|2013-09-25|2016-08-16|Verizon Patent And Licensing Inc.|Training speech recognition using captions|

---

US9443527B1|2013-09-27|2016-09-13|Amazon Technologies, Inc.|Speech recognition capability generation and control|

---

CN104516522B|2013-09-29|2018-05-01|北京三星通信技术研究有限公司|The method and apparatus of nine grids input through keyboard|

---

US20150095278A1|2013-09-30|2015-04-02|Manyworlds, Inc.|Adaptive Probabilistic Semantic System and Method|

---

US9344755B2|2013-09-30|2016-05-17|Sonos, Inc.|Fast-resume audio playback|

---

US20150095031A1|2013-09-30|2015-04-02|At&T Intellectual Property I, L.P.|System and method for crowdsourcing of word pronunciation verification|

---

US20150100537A1|2013-10-03|2015-04-09|Microsoft Corporation|Emoji for Text Predictions|

---

US20150100983A1|2013-10-06|2015-04-09|Yang Pan|Personal Mobile Device as Ad hoc Set-Top Box for Television|

---

US9436918B2|2013-10-07|2016-09-06|Microsoft Technology Licensing, Llc|Smart selection of text spans|

---

KR101480474B1|2013-10-08|2015-01-09|엘지전자 주식회사|Audio playing apparatus and systme habving the samde|

---

US20150100313A1|2013-10-09|2015-04-09|Verizon Patent And Licensing, Inc.|Personification of computing devices for remote access|

---

EP3055786A4|2013-10-09|2017-05-17|Google, Inc.|Automatic definition of entity collections|

---

KR101506510B1|2013-10-10|2015-03-30|송철호|Speech Recognition Home Network System.|

---

US8996639B1|2013-10-15|2015-03-31|Google Inc.|Predictive responses to incoming communications|

---

US9063640B2|2013-10-17|2015-06-23|Spotify Ab|System and method for switching between media items in a plurality of sequences of media items|

---

JP6280342B2|2013-10-22|2018-02-14|株式会社Ｎｔｔドコモ|Function execution instruction system and function execution instruction method|

---

US20150120723A1|2013-10-24|2015-04-30|Xerox Corporation|Methods and systems for processing speech queries|

---

US20150120296A1|2013-10-29|2015-04-30|At&T Intellectual Property I, L.P.|System and method for selecting network-based versus embedded speech processing|

---

US10055681B2|2013-10-31|2018-08-21|Verint Americas Inc.|Mapping actions and objects to tasks|

---

US9183830B2|2013-11-01|2015-11-10|Google Inc.|Method and system for non-parametric voice conversion|

---

US9942396B2|2013-11-01|2018-04-10|Adobe Systems Incorporated|Document distribution and interaction|

---

US10019985B2|2013-11-04|2018-07-10|Google Llc|Asynchronous optimization for sequence training of neural networks|

---

US10088973B2|2013-11-08|2018-10-02|Google Llc|Event scheduling presentation in a graphical user interface environment|

---

US9600474B2|2013-11-08|2017-03-21|Google Inc.|User interface for realtime language translation|

---

US9547644B2|2013-11-08|2017-01-17|Google Inc.|Presenting translations of text depicted in images|

---

JP6493866B2|2013-11-12|2019-04-03|インターナショナル・ビジネス・マシーンズ・コーポレーションＩｎｔｅｒｎａｔｉｏｎａｌ Ｂｕｓｉｎｅｓｓ Ｍａｃｈｉｎｅｓ Ｃｏｒｐｏｒａｔｉｏｎ|Information processing apparatus, information processing method, and program|

---

US10430024B2|2013-11-13|2019-10-01|Microsoft Technology Licensing, Llc|Media item selection using user-specific grammar|

---

GB2520266A|2013-11-13|2015-05-20|Ibm|Cursor-Based Character input interface|

---

US9361084B1|2013-11-14|2016-06-07|Google Inc.|Methods and systems for installing and executing applications|

---

US10110932B2|2013-11-18|2018-10-23|Cable Television Laboratories, Inc.|Session administration|

---

US9898554B2|2013-11-18|2018-02-20|Google Inc.|Implicit question query identification|

---

US9443522B2|2013-11-18|2016-09-13|Beijing Lenovo Software Ltd.|Voice recognition method, voice controlling method, information processing method, and electronic apparatus|

---

US10162813B2|2013-11-21|2018-12-25|Microsoft Technology Licensing, Llc|Dialogue evaluation via multiple hypothesis ranking|

---

US10096316B2|2013-11-27|2018-10-09|Sri International|Sharing intents to provide virtual assistance in a multi-person dialog|

---

US20150149354A1|2013-11-27|2015-05-28|Bank Of America Corporation|Real-Time Data Recognition and User Interface Field Updating During Voice Entry|

---

US10079013B2|2013-11-27|2018-09-18|Sri International|Sharing intents to provide virtual assistance in a multi-person dialog|

---

US9451434B2|2013-11-27|2016-09-20|At&T Intellectual Property I, L.P.|Direct interaction between a user and a communication network|

---

US9698999B2|2013-12-02|2017-07-04|Amazon Technologies, Inc.|Natural language control of secondary device|

---

US8719039B1|2013-12-05|2014-05-06|Google Inc.|Promoting voice actions to hotwords|

---

US10296160B2|2013-12-06|2019-05-21|Apple Inc.|Method for extracting salient dialog usage from live data|

---

US9215510B2|2013-12-06|2015-12-15|Rovi Guides, Inc.|Systems and methods for automatically tagging a media asset based on verbal input and playback adjustments|

---

WO2015085237A1|2013-12-06|2015-06-11|Adt Us Holdings, Inc.|Voice activated application for mobile devices|

---

CN104700832B|2013-12-09|2018-05-25|联发科技股份有限公司|Voiced keyword detecting system and method|

---

US20150162001A1|2013-12-10|2015-06-11|Honeywell International Inc.|System and method for textually and graphically presenting air traffic control voice information|

---

US20150160855A1|2013-12-10|2015-06-11|Google Inc.|Multiple character input with a single selection|

---

GB201321927D0|2013-12-11|2014-01-22|Touchtype Ltd|System and method for inputting text into electronic devices|

---

US9900177B2|2013-12-11|2018-02-20|Echostar Technologies International Corporation|Maintaining up-to-date home automation models|

---

US9696886B2|2013-12-12|2017-07-04|Google Technology Holdings LLC|Systems and methods for communicating task reminders on portable electronic devices|

---

US9208153B1|2013-12-13|2015-12-08|Symantec Corporation|Filtering relevant event notifications in a file sharing and collaboration environment|

---

US9804820B2|2013-12-16|2017-10-31|Nuance Communications, Inc.|Systems and methods for providing a virtual assistant|

---

US10534623B2|2013-12-16|2020-01-14|Nuance Communications, Inc.|Systems and methods for providing a virtual assistant|

---

US9571645B2|2013-12-16|2017-02-14|Nuance Communications, Inc.|Systems and methods for providing a virtual assistant|

---

WO2015094169A1|2013-12-16|2015-06-25|Nuance Communications, Inc.|Systems and methods for providing a virtual assistant|

---

US9479931B2|2013-12-16|2016-10-25|Nuance Communications, Inc.|Systems and methods for providing a virtual assistant|

---

US9711135B2|2013-12-17|2017-07-18|Sony Corporation|Electronic devices and methods for compensating for environmental noise in text-to-speech applications|

---

GB2523984B|2013-12-18|2017-07-26|Cirrus Logic Int Semiconductor Ltd|Processing received speech data|

---

US9741343B1|2013-12-19|2017-08-22|Amazon Technologies, Inc.|Voice interaction application selection|

---

US10565268B2|2013-12-19|2020-02-18|Adobe Inc.|Interactive communication augmented with contextual information|

---

WO2015094369A1|2013-12-20|2015-06-25|Intel Corporation|Transition from low power always listening mode to high power speech recognition mode|

---

KR102179506B1|2013-12-23|2020-11-17|삼성전자 주식회사|Electronic apparatus and control method thereof|

---

US9640181B2|2013-12-27|2017-05-02|Kopin Corporation|Text editing with gesture control and natural speech|

---

KR102092164B1|2013-12-27|2020-03-23|삼성전자주식회사|Display device, server device, display system comprising them and methods thereof|

---

JP6121896B2|2013-12-27|2017-04-26|株式会社ソニー・インタラクティブエンタテインメント|Information processing apparatus and information processing system|

---

US9460735B2|2013-12-28|2016-10-04|Intel Corporation|Intelligent ancillary electronic device|

---

US9390726B1|2013-12-30|2016-07-12|Google Inc.|Supplementing speech commands with gestures|

---

US20150278737A1|2013-12-30|2015-10-01|Google Inc.|Automatic Calendar Event Generation with Structured Data from Free-Form Speech|

---

US10078489B2|2013-12-30|2018-09-18|Microsoft Technology Licensing, Llc|Voice interface to a social networking service|

---

US9152307B2|2013-12-31|2015-10-06|Google Inc.|Systems and methods for simultaneously displaying clustered, in-line electronic messages in one display|

---

US9823811B2|2013-12-31|2017-11-21|Next It Corporation|Virtual assistant team identification|

---

US9274673B2|2013-12-31|2016-03-01|Google Inc.|Methods, systems, and media for rewinding media content based on detected audio events|

---

US9424241B2|2013-12-31|2016-08-23|Barnes & Noble College Booksellers, Llc|Annotation mode including multiple note types for paginated digital content|

---

US9742836B2|2014-01-03|2017-08-22|Yahoo Holdings, Inc.|Systems and methods for content delivery|

---

US20150193379A1|2014-01-06|2015-07-09|Apple Inc.|System and method for cognizant time-based reminders|

---

US9037455B1|2014-01-08|2015-05-19|Google Inc.|Limiting notification interruptions|

---

US8938394B1|2014-01-09|2015-01-20|Google Inc.|Audio triggers based on context|

---

US9924215B2|2014-01-09|2018-03-20|Hsni, Llc|Digital media content management system and method|

---

US9443516B2|2014-01-09|2016-09-13|Honeywell International Inc.|Far-field speech recognition systems and methods|

---

US20150201077A1|2014-01-12|2015-07-16|Genesys Telecommunications Laboratories, Inc.|Computing suggested actions in caller agent phone calls by using real-time speech analytics and real-time desktop analytics|

---

US9514748B2|2014-01-15|2016-12-06|Microsoft Technology Licensing, Llc|Digital personal assistant interaction with impersonations and rich multimedia in responses|

---

US20150199965A1|2014-01-16|2015-07-16|CloudCar Inc.|System and method for recognition and automatic correction of voice commands|

---

US8868409B1|2014-01-16|2014-10-21|Google Inc.|Evaluating transcriptions with a semantic parser|

---

US9336300B2|2014-01-17|2016-05-10|Facebook, Inc.|Client-side search templates for online social networks|

---

CN103744761B|2014-01-22|2017-02-08|广东欧珀移动通信有限公司|Method and system for controlling multiple mobile terminals to automatically execute tasks|

---

CN106415721B|2014-01-22|2019-08-16|苹果公司|The coordination switching of audio data transmission|

---

CN105900042B|2014-01-22|2019-06-28|索尼公司|Redirect the method and apparatus of audio input and output|

---

CN103760984A|2014-01-24|2014-04-30|成都万先自动化科技有限责任公司|Man-machine conversation system|

---

US20150213796A1|2014-01-28|2015-07-30|Lenovo Pte. Ltd.|Adjusting speech recognition using contextual information|

---

US9858039B2|2014-01-28|2018-01-02|Oracle International Corporation|Voice recognition of commands extracted from user interface screen devices|

---

US10019060B2|2014-01-30|2018-07-10|Duane Matthew Cash|Mind-controlled virtual assistant on a smartphone device|

---

US20160173960A1|2014-01-31|2016-06-16|EyeGroove, Inc.|Methods and systems for generating audiovisual media items|

---

US10978060B2|2014-01-31|2021-04-13|Hewlett-Packard Development Company, L.P.|Voice input command|

---

US9292488B2|2014-02-01|2016-03-22|Soundhound, Inc.|Method for embedding voice mail in a spoken utterance using a natural language processing computer system|

---

US10454783B2|2014-02-05|2019-10-22|Apple Inc.|Accessory management system using environment model|

---

JP6188831B2|2014-02-06|2017-08-30|三菱電機株式会社|Voice search apparatus and voice search method|

---

US20150228281A1|2014-02-07|2015-08-13|First Principles,Inc.|Device, system, and method for active listening|

---

US9576588B2|2014-02-10|2017-02-21|Apple Inc.|Close-talk detector for personal listening device with adaptive active noise control|

---

US10083205B2|2014-02-12|2018-09-25|Samsung Electronics Co., Ltd.|Query cards|

---

US9037967B1|2014-02-18|2015-05-19|King Fahd University Of Petroleum And Minerals|Arabic spell checking technique|

---

US9589562B2|2014-02-21|2017-03-07|Microsoft Technology Licensing, Llc|Pronunciation learning through correction logs|

---

WO2015127404A1|2014-02-24|2015-08-27|Microsoft Technology Licensing, Llc|Unified presentation of contextually connected information to improve user efficiency and interaction performance|

---

US9495959B2|2014-02-27|2016-11-15|Ford Global Technologies, Llc|Disambiguation of dynamic commands|

---

US20150248651A1|2014-02-28|2015-09-03|Christine E. Akutagawa|Social networking event planning|

---

US9412363B2|2014-03-03|2016-08-09|Microsoft Technology Licensing, Llc|Model based approach for on-screen item selection and disambiguation|

---

US20150256873A1|2014-03-04|2015-09-10|Microsoft Technology Licensing, Llc|Relayed voice control of devices|

---

US9489171B2|2014-03-04|2016-11-08|Microsoft Technology Licensing, Llc|Voice-command suggestions based on user identity|

---

US9574890B2|2014-03-04|2017-02-21|Qualcomm Incorporated|Reduced power consumption and improved user experience when navigating along familiar routes|

---

US9582246B2|2014-03-04|2017-02-28|Microsoft Technology Licensing, Llc|Voice-command suggestions based on computer context|

---

US9286910B1|2014-03-13|2016-03-15|Amazon Technologies, Inc.|System for resolving ambiguous queries based on user context|

---

US9405377B2|2014-03-15|2016-08-02|Microsoft Technology Licensing, Llc|Trainable sensor-based gesture recognition|

---

CN103841268A|2014-03-17|2014-06-04|联想有限公司|Information processing method and information processing device|

---

US9430186B2|2014-03-17|2016-08-30|Google Inc|Visual indication of a recognized voice-initiated action|

---

US10102274B2|2014-03-17|2018-10-16|NLPCore LLC|Corpus search systems and methods|

---

US9336306B2|2014-03-21|2016-05-10|International Business Machines Corporation|Automatic evaluation and improvement of ontologies for natural language processing tasks|

---

US9734817B1|2014-03-21|2017-08-15|Amazon Technologies, Inc.|Text-to-speech task scheduling|

---

US9966079B2|2014-03-24|2018-05-08|Lenovo Pte. Ltd.|Directing voice input based on eye tracking|

---

US9710546B2|2014-03-28|2017-07-18|Microsoft Technology Licensing, Llc|Explicit signals personalized search|

---

IN2014DE00899A|2014-03-28|2015-10-02|Samsung Electronics Co Ltd|

---

GB2542279A|2014-03-29|2017-03-15|Thomson Reuters Global Resources|Improved method, system and software for searching, identifying, retrieving and presenting electronic documents|

---

US9196243B2|2014-03-31|2015-11-24|International Business Machines Corporation|Method and system for efficient spoken term detection using confusion networks|

---

US10037758B2|2014-03-31|2018-07-31|Mitsubishi Electric Corporation|Device and method for understanding user intent|

---

US10749989B2|2014-04-01|2020-08-18|Microsoft Technology Licensing Llc|Hybrid client/server architecture for parallel processing|

---

US9286892B2|2014-04-01|2016-03-15|Google Inc.|Language modeling in speech recognition|

---

US20150278370A1|2014-04-01|2015-10-01|Microsoft Corporation|Task completion for natural language input|

---

EP3127352B1|2014-04-02|2020-10-28|Sony Corporation|Power efficient proximity detection|

---

US20150286627A1|2014-04-03|2015-10-08|Adobe Systems Incorporated|Contextual sentiment text analysis|

---

KR102249086B1|2014-04-04|2021-05-10|삼성전자주식회사|Electronic Apparatus and Method for Supporting of Recording|

---

KR20150115555A|2014-04-04|2015-10-14|삼성전자주식회사|Electronic device And Method for providing information thereof|

---

US9519644B2|2014-04-04|2016-12-13|Facebook, Inc.|Methods and devices for generating media items|

---

US9383827B1|2014-04-07|2016-07-05|Google Inc.|Multi-modal command display|

---

JP6282516B2|2014-04-08|2018-02-21|パナソニック インテレクチュアル プロパティ コーポレーション オブ アメリカＰａｎａｓｏｎｉｃ Ｉｎｔｅｌｌｅｃｔｕａｌ Ｐｒｏｐｅｒｔｙ Ｃｏｒｐｏｒａｔｉｏｎ ｏｆ Ａｍｅｒｉｃａ|Multi-device voice operation system, voice operation method, and program|

---

US9888452B2|2014-04-10|2018-02-06|Twin Harbor Labs Llc|Methods and apparatus notifying a user of the operating condition of a household appliance|

---

US20150294516A1|2014-04-10|2015-10-15|Kuo-Ching Chiang|Electronic device with security module|

---

WO2015157013A1|2014-04-11|2015-10-15|Analog Devices, Inc.|Apparatus, systems and methods for providing blind source separation services|

---

US9582499B2|2014-04-14|2017-02-28|Xerox Corporation|Retrieval of domain relevant phrase tables|

---

US20150294086A1|2014-04-14|2015-10-15|Elwha Llc|Devices, systems, and methods for automated enhanced care rooms|

---

CN108551675A|2014-04-14|2018-09-18|阿里巴巴集团控股有限公司|A kind of applications client, server-side and corresponding portal authentication method|

---

US20150302856A1|2014-04-17|2015-10-22|Qualcomm Incorporated|Method and apparatus for performing function by speech input|

---

US10770075B2|2014-04-21|2020-09-08|Qualcomm Incorporated|Method and apparatus for activating application by speech input|

---

US9607613B2|2014-04-23|2017-03-28|Google Inc.|Speech endpointing based on word comparisons|

---

US20150310862A1|2014-04-24|2015-10-29|Microsoft Corporation|Deep learning for semantic parsing including semantic utterance classification|

---

US10845982B2|2014-04-28|2020-11-24|Facebook, Inc.|Providing intelligent transcriptions of sound messages in a messaging application|

---

US9520127B2|2014-04-29|2016-12-13|Microsoft Technology Licensing, Llc|Shared hidden layer combination for speech recognition systems|

---

KR102248474B1|2014-04-30|2021-05-07|삼성전자 주식회사|Voice command providing method and apparatus|

---

US9600600B2|2014-04-30|2017-03-21|Excalibur Ip, Llc|Method and system for evaluating query suggestions quality|

---

US9501163B2|2014-05-06|2016-11-22|Symbol Technologies, Llc|Apparatus and method for activating a trigger mechanism|

---

KR102282487B1|2014-05-08|2021-07-26|삼성전자주식회사|Apparatus and method for executing application|

---

US9620105B2|2014-05-15|2017-04-11|Apple Inc.|Analyzing audio input for efficient speech and music recognition|

---

US20150334346A1|2014-05-16|2015-11-19|Elwha Llc|Systems and methods for automatically connecting a user of a hands-free intercommunication system|

---

US9459889B2|2014-05-19|2016-10-04|Qualcomm Incorporated|Systems and methods for context-aware application control|

---

KR102216048B1|2014-05-20|2021-02-15|삼성전자주식회사|Apparatus and method for recognizing voice commend|

---

US10726831B2|2014-05-20|2020-07-28|Amazon Technologies, Inc.|Context interpretation in natural language processing using previous dialog acts|

---

KR102223278B1|2014-05-22|2021-03-05|엘지전자 주식회사|Glass type terminal and control method thereof|

---

US10592095B2|2014-05-23|2020-03-17|Apple Inc.|Instantaneous speaking of content on touch devices|

---

US9990433B2|2014-05-23|2018-06-05|Samsung Electronics Co., Ltd.|Method for searching and device thereof|

---

US9502031B2|2014-05-27|2016-11-22|Apple Inc.|Method for supporting dynamic grammars in WFST-based ASR|

---

US9437189B2|2014-05-29|2016-09-06|Google Inc.|Generating language models|

---

US10033818B2|2014-05-30|2018-07-24|Apple Inc.|Using listen ranges to deliver content to electronic devices from local caching servers|

---

TWI520007B|2014-05-30|2016-02-01|由田新技股份有限公司|Eye-controlled password input apparatus, method, computer readable medium, and computer program product thereof|

---

WO2015184186A1|2014-05-30|2015-12-03|Apple Inc.|Multi-command single utterance input method|

---

US9715875B2|2014-05-30|2017-07-25|Apple Inc.|Reducing the need for manual start/end-pointing and trigger phrases|

---

US9430463B2|2014-05-30|2016-08-30|Apple Inc.|Exemplar-based natural language processing|

---

US10170123B2|2014-05-30|2019-01-01|Apple Inc.|Intelligent assistant for home automation|

---

US9380123B2|2014-05-30|2016-06-28|Apple Inc.|Activity continuation between electronic devices|

---

US9760559B2|2014-05-30|2017-09-12|Apple Inc.|Predictive text input|

---

US10579212B2|2014-05-30|2020-03-03|Apple Inc.|Structured suggestions|

---

US10078631B2|2014-05-30|2018-09-18|Apple Inc.|Entropy-guided text prediction using combined word and character n-gram language models|

---

US9519634B2|2014-05-30|2016-12-13|Educational Testing Service|Systems and methods for determining lexical associations among words in a corpus|

---

US9633004B2|2014-05-30|2017-04-25|Apple Inc.|Better resolution when referencing to concepts|

---

US20150350118A1|2014-05-30|2015-12-03|Apple Inc.|Canned answers in messages|

---

US11088807B2|2014-05-30|2021-08-10|Apple Inc.|Application-level acknowledgements|

---

US9842101B2|2014-05-30|2017-12-12|Apple Inc.|Predictive conversion of language input|

---

US9887949B2|2014-05-31|2018-02-06|Apple Inc.|Displaying interactive notifications on touch sensitive devices|

---

GB2526805A|2014-06-03|2015-12-09|Nokia Technologies Oy|Methods, apparatuses and computer programs for adapting content|

---

US10318016B2|2014-06-03|2019-06-11|Harman International Industries, Incorporated|Hands free device with directional interface|

---

US9654459B2|2014-06-04|2017-05-16|Sonos, Inc.|Cloud queue synchronization protocol|

---

US8995972B1|2014-06-05|2015-03-31|Grandios Technologies, Llc|Automatic personal assistance between users devices|

---

CN107113222B|2014-06-06|2020-09-01|谷歌有限责任公司|Active chat information system based on environment|

---

JP6307356B2|2014-06-06|2018-04-04|株式会社デンソー|Driving context information generator|

---

US10325205B2|2014-06-09|2019-06-18|Cognitive Scale, Inc.|Cognitive information processing system environment|

---

EP3410257B1|2014-06-11|2020-01-08|Huawei Technologies Co., Ltd.|Method for quickly starting application service, and terminal|

---

CN104090652B|2014-06-13|2017-07-21|北京搜狗科技发展有限公司|A kind of pronunciation inputting method and device|

---

US10127901B2|2014-06-13|2018-11-13|Microsoft Technology Licensing, Llc|Hyper-structure recurrent neural networks for text-to-speech|

---

US20150364140A1|2014-06-13|2015-12-17|Sony Corporation|Portable Electronic Equipment and Method of Operating a User Interface|

---

US20150370787A1|2014-06-18|2015-12-24|Microsoft Corporation|Session Context Modeling For Conversational Understanding Systems|

---

US9390706B2|2014-06-19|2016-07-12|Mattersight Corporation|Personality-based intelligent personal assistant system and methods|

---

US9462112B2|2014-06-19|2016-10-04|Microsoft Technology Licensing, Llc|Use of a digital assistant in communications|

---

US10186282B2|2014-06-19|2019-01-22|Apple Inc.|Robust end-pointing of speech signals using speaker recognition|

---

US9632748B2|2014-06-24|2017-04-25|Google Inc.|Device designation for audio input monitoring|

---

US20150371529A1|2014-06-24|2015-12-24|Bose Corporation|Audio Systems and Related Methods and Devices|

---

US9384738B2|2014-06-24|2016-07-05|Google Inc.|Dynamic threshold for speaker verification|

---

US9807559B2|2014-06-25|2017-10-31|Microsoft Technology Licensing, Llc|Leveraging user signals for improved interactions with digital personal assistant|

---

US10402453B2|2014-06-27|2019-09-03|Nuance Communications, Inc.|Utilizing large-scale knowledge graphs to support inference at scale and explanation generation|

---

KR102261552B1|2014-06-30|2021-06-07|삼성전자주식회사|Providing Method For Voice Command and Electronic Device supporting the same|

---

US9338493B2|2014-06-30|2016-05-10|Apple Inc.|Intelligent automated assistant for TV user interactions|

---

US10659851B2|2014-06-30|2020-05-19|Apple Inc.|Real-time digital assistant knowledge updates|

---

WO2016004396A1|2014-07-02|2016-01-07|Christopher Decharms|Technologies for brain exercise training|

---

US20160012038A1|2014-07-10|2016-01-14|International Business Machines Corporation|Semantic typing with n-gram analysis|

---

US10321204B2|2014-07-11|2019-06-11|Lenovo Pte. Ltd.|Intelligent closed captioning|

---

US9665248B2|2014-07-15|2017-05-30|Google Inc.|Adaptive background playback behavior|

---

KR20160009344A|2014-07-16|2016-01-26|삼성전자주식회사|Method and apparatus for recognizing whispered voice|

---

US20160018899A1|2014-07-18|2016-01-21|Apple Inc.|Detecting loss of user focus in a device|

---

CN104113471B|2014-07-18|2018-06-05|广州三星通信技术研究有限公司|Information processing method and device when communication connection is abnormal|

---

US9257120B1|2014-07-18|2016-02-09|Google Inc.|Speaker verification using co-location information|

---

US9301256B2|2014-07-24|2016-03-29|Verizon Patent And Licensing Inc.|Low battery indication for callers to mobile device|

---

US20160028666A1|2014-07-24|2016-01-28|Framy Inc.|System and method for instant messaging|

---

US20160086116A1|2014-07-27|2016-03-24|Supriya Rao|Method and system of an automatically managed calendar and contextual task list|

---

US20160034811A1|2014-07-31|2016-02-04|Apple Inc.|Efficient generation of complementary acoustic models for performing automatic speech recognition system combination|

---

WO2016017997A1|2014-07-31|2016-02-04|Samsung Electronics Co., Ltd.|Wearable glasses and method of providing content using the same|

---

EP3410253A1|2014-07-31|2018-12-05|Samsung Electronics Co., Ltd.|Mobile communication device using a plurality of wearable devices in parallel|

---

US9377871B2|2014-08-01|2016-06-28|Nuance Communications, Inc.|System and methods for determining keyboard input in the presence of multiple contact points|

---

US9767794B2|2014-08-11|2017-09-19|Nuance Communications, Inc.|Dialog flow management in hierarchical task dialogs|

---

US9548066B2|2014-08-11|2017-01-17|Amazon Technologies, Inc.|Voice application architecture|

---

US9361442B2|2014-08-12|2016-06-07|International Business Machines Corporation|Triggering actions on a user device based on biometrics of nearby individuals|

---

US9838999B2|2014-08-14|2017-12-05|Blackberry Limited|Portable electronic device and method of controlling notifications|

---

JP6044604B2|2014-08-18|2016-12-14|カシオ計算機株式会社|Terminal device and program|

---

US10345767B2|2014-08-19|2019-07-09|Samsung Electronics Co., Ltd.|Apparatus and method for gamification of sensor data interpretation in smart home|

---

KR20160023089A|2014-08-21|2016-03-03|엘지전자 주식회사|Digital device and method for controlling the same|

---

US20160055240A1|2014-08-22|2016-02-25|Microsoft Corporation|Orphaned utterance detection system and method|

---

DE202015005999U1|2014-08-26|2015-11-26|Apple Inc.|User interface for restricting messages and alarms|

---

US10446141B2|2014-08-28|2019-10-15|Apple Inc.|Automatic speech recognition based on user feedback|

---

US9990610B2|2014-08-29|2018-06-05|Google Llc|Systems and methods for providing suggested reminders|

---

CN105471705B|2014-09-03|2021-03-23|腾讯科技（深圳）有限公司|Intelligent control method, equipment and system based on instant messaging|

---

US9959863B2|2014-09-08|2018-05-01|Qualcomm Incorporated|Keyword detection using speaker-independent keyword models for user-designated keywords|

---

EP3192071A4|2014-09-09|2017-08-23|Microsoft Technology Licensing, LLC|Variable-component deep neural network for robust speech recognition|

---

US10204622B2|2015-09-10|2019-02-12|Crestron Electronics, Inc.|Acoustic sensory network|

---

US9818400B2|2014-09-11|2017-11-14|Apple Inc.|Method and apparatus for discovering trending terms in speech requests|

---

US10789041B2|2014-09-12|2020-09-29|Apple Inc.|Dynamic thresholds for always listening speech trigger|

---

CN105490890A|2014-09-16|2016-04-13|中兴通讯股份有限公司|Intelligent household terminal and control method therefor|

---

US9508028B2|2014-09-24|2016-11-29|Nuance Communications, Inc.|Converting text strings into number strings, such as via a touchscreen input|

---

US10317992B2|2014-09-25|2019-06-11|Microsoft Technology Licensing, Llc|Eye gaze for spoken language understanding in multi-modal conversational interactions|

---

US10074360B2|2014-09-30|2018-09-11|Apple Inc.|Providing an indication of the suitability of speech recognition|

---

US10127911B2|2014-09-30|2018-11-13|Apple Inc.|Speaker identification and unsupervised speaker adaptation techniques|

---

US9668121B2|2014-09-30|2017-05-30|Apple Inc.|Social reminders|

---

US9646634B2|2014-09-30|2017-05-09|Google Inc.|Low-rank hidden input layer for speech recognition neural network|

---

US9378740B1|2014-09-30|2016-06-28|Amazon Technologies, Inc.|Command suggestions during automatic speech recognition|

---

US9886432B2|2014-09-30|2018-02-06|Apple Inc.|Parsimonious handling of word inflection via categorical stem + suffix N-gram language models|

---

US9830321B2|2014-09-30|2017-11-28|Rovi Guides, Inc.|Systems and methods for searching for a media asset|

---

US9578156B2|2014-09-30|2017-02-21|Samsung Electronics Co., Ltd.|Method and apparatus for operating an electronic device|

---

JP6448971B2|2014-09-30|2019-01-09|シャープ株式会社|Interactive device|

---

US9646609B2|2014-09-30|2017-05-09|Apple Inc.|Caching apparatus for serving phonetic pronunciations|

---

CN107004410B|2014-10-01|2020-10-02|西布雷恩公司|Voice and connectivity platform|

---

US9318107B1|2014-10-09|2016-04-19|Google Inc.|Hotword detection on multiple devices|

---

US9812128B2|2014-10-09|2017-11-07|Google Inc.|Device leadership negotiation among voice interface devices|

---

KR102217641B1|2014-10-17|2021-02-19|삼성전자 주식회사|Electronic device and method for controlling audio input/output|

---

US9741344B2|2014-10-20|2017-08-22|Vocalzoom Systems Ltd.|System and method for operating devices using voice commands|

---

US20160117386A1|2014-10-22|2016-04-28|International Business Machines Corporation|Discovering terms using statistical corpus analysis|

---

US9576575B2|2014-10-27|2017-02-21|Toyota Motor Engineering & Manufacturing North America, Inc.|Providing voice recognition shortcuts based on user verbal input|

---

CN104460593B|2014-10-29|2017-10-10|小米科技有限责任公司|mode switching method and device|

---

US9880714B2|2014-10-30|2018-01-30|Ebay Inc.|Dynamic loading of contextual ontologies for predictive touch screen typing|

---

US10089364B2|2014-10-31|2018-10-02|Kabushiki Kaisha Toshiba|Item recommendation device, item recommendation method, and computer program product|

---

US9646611B2|2014-11-06|2017-05-09|Microsoft Technology Licensing, Llc|Context-based actions|

---

GB2532075A|2014-11-10|2016-05-11|Lego As|System and method for toy recognition and detection based on convolutional neural networks|

---

US10572589B2|2014-11-10|2020-02-25|International Business Machines Corporation|Cognitive matching of narrative data|

---

US9582493B2|2014-11-10|2017-02-28|Oracle International Corporation|Lemma mapping to universal ontologies in computer natural language processing|

---

US9542927B2|2014-11-13|2017-01-10|Google Inc.|Method and system for building text-to-speech voice from diverse recordings|

---

US20160139662A1|2014-11-14|2016-05-19|Sachin Dabhade|Controlling a visual device based on a proximity between a user and the visual device|

---

US10116748B2|2014-11-20|2018-10-30|Microsoft Technology Licensing, Llc|Vehicle-based multi-modal interface|

---

US9258604B1|2014-11-24|2016-02-09|Facebook, Inc.|Commercial detection based on audio fingerprinting|

---

US9886430B2|2014-11-25|2018-02-06|Microsoft Technology Licensing, Llc|Entity based content selection|

---

US10614799B2|2014-11-26|2020-04-07|Voicebox Technologies Corporation|System and method of providing intent predictions for an utterance prior to a system detection of an end of the utterance|

---

US10192549B2|2014-11-28|2019-01-29|Microsoft Technology Licensing, Llc|Extending digital personal assistant action providers|

---

US9812126B2|2014-11-28|2017-11-07|Microsoft Technology Licensing, Llc|Device arbitration for listening devices|

---

BR112017011522A2|2014-12-01|2018-05-15|Inscape Data Inc|system and method|

---

US9466297B2|2014-12-09|2016-10-11|Microsoft Technology Licensing, Llc|Communication system|

---

US9241073B1|2014-12-09|2016-01-19|Ringcentral, Inc.|Systems and methods for managing an event scheduling request in a telephony system|

---

US9495345B2|2014-12-09|2016-11-15|Idibon, Inc.|Methods and systems for modeling complex taxonomies with natural language understanding|

---

US9711141B2|2014-12-09|2017-07-18|Apple Inc.|Disambiguating heteronyms in speech synthesis|

---

US20160170966A1|2014-12-10|2016-06-16|Brian Kolo|Methods and systems for automated language identification|

---

EP3230824A4|2014-12-11|2018-08-08|Microsoft Technology Licensing, LLC|Virtual assistant system to enable actionable messaging|

---

US9912758B2|2014-12-16|2018-03-06|Yahoo Holdings, Inc.|Continuing an application session on a different device|

---

US9904673B2|2014-12-17|2018-02-27|International Business Machines Corporation|Conversation advisor|

---

US9911415B2|2014-12-19|2018-03-06|Lenovo Pte. Ltd.|Executing a voice command during voice input|

---

US9552816B2|2014-12-19|2017-01-24|Amazon Technologies, Inc.|Application focus in speech-based systems|

---

US9690542B2|2014-12-22|2017-06-27|Microsoft Technology Licensing, Llc|Scaling digital personal assistant agents across devices|

---

US10672390B2|2014-12-22|2020-06-02|Rovi Guides, Inc.|Systems and methods for improving speech recognition performance by generating combined interpretations|

---

US9811312B2|2014-12-22|2017-11-07|Intel Corporation|Connected device voice command support|

---

KR20160076201A|2014-12-22|2016-06-30|엘지전자 주식회사|Mobile terminal and method for controlling the same|

---

JP6504808B2|2014-12-22|2019-04-24|キヤノン株式会社|Imaging device, setting method of voice command function, computer program, and storage medium|

---

JP6754184B2|2014-12-26|2020-09-09|パナソニック インテレクチュアル プロパティ コーポレーション オブ アメリカＰａｎａｓｏｎｉｃ Ｉｎｔｅｌｌｅｃｔｕａｌ Ｐｒｏｐｅｒｔｙ Ｃｏｒｐｏｒａｔｉｏｎ ｏｆ Ａｍｅｒｉｃａ|Voice recognition device and voice recognition method|

---

US9837081B2|2014-12-30|2017-12-05|Microsoft Technology Licensing, Llc|Discovering capabilities of third-party voice-enabled resources|

---

US9959129B2|2015-01-09|2018-05-01|Microsoft Technology Licensing, Llc|Headless task completion within digital personal assistants|

---

US10403267B2|2015-01-16|2019-09-03|Samsung Electronics Co., Ltd|Method and device for performing voice recognition using grammar model|

---

KR102305584B1|2015-01-19|2021-09-27|삼성전자주식회사|Method and apparatus for training language model, method and apparatus for recognizing language|

---

US9367541B1|2015-01-20|2016-06-14|Xerox Corporation|Terminological adaptation of statistical machine translation system through automatic generation of phrasal contexts for bilingual terms|

---

CN105869641A|2015-01-22|2016-08-17|佳能株式会社|Speech recognition device and speech recognition method|

---

US9424412B1|2015-02-02|2016-08-23|Bank Of America Corporation|Authenticating customers using biometrics|

---

US20160225372A1|2015-02-03|2016-08-04|Samsung Electronics Company, Ltd.|Smart home connected device contextual learning using audio commands|

---

US9613022B2|2015-02-04|2017-04-04|Lenovo Pte. Ltd.|Context based customization of word assistance functions|

---

KR101678087B1|2015-02-16|2016-11-23|현대자동차주식회사|Vehicle and method of controlling the same|

---

KR20160101826A|2015-02-17|2016-08-26|삼성전자주식회사|Multi-Users Based Device|

---

JP2016151928A|2015-02-18|2016-08-22|ソニー株式会社|Information processing device, information processing method, and program|

---

EP3259688A4|2015-02-19|2018-12-12|Digital Reasoning Systems, Inc.|Systems and methods for neural language modeling|

---

US9928232B2|2015-02-27|2018-03-27|Microsoft Technology Licensing, Llc|Topically aware word suggestions|

---

US10152299B2|2015-03-06|2018-12-11|Apple Inc.|Reducing response latency of intelligent automated assistants|

---

US9865280B2|2015-03-06|2018-01-09|Apple Inc.|Structured dictation using intelligent automated assistants|

---

US9911412B2|2015-03-06|2018-03-06|Nuance Communications, Inc.|Evidence-based natural language input recognition|

---

US10216351B2|2015-03-08|2019-02-26|Apple Inc.|Device configuration user interface|

---

US10567477B2|2015-03-08|2020-02-18|Apple Inc.|Virtual assistant continuity|

---

US9721566B2|2015-03-08|2017-08-01|Apple Inc.|Competing devices responding to voice triggers|

---

US9886953B2|2015-03-08|2018-02-06|Apple Inc.|Virtual assistant activation|

---

US20160266871A1|2015-03-11|2016-09-15|Adapx, Inc.|Speech recognizer for multimodal systems and signing in/out with and /or for a digital pen|

---

US9805713B2|2015-03-13|2017-10-31|Google Inc.|Addressing missing features in models|

---

US9984686B1|2015-03-17|2018-05-29|Amazon Technologies, Inc.|Mapping device capabilities to a predefined set|

---

US9899019B2|2015-03-18|2018-02-20|Apple Inc.|Systems and methods for structured stem and suffix language models|

---

US20160286045A1|2015-03-23|2016-09-29|Vonage Network Llc|System and method for providing an informative message when rejecting an incoming call|

---

US9703394B2|2015-03-24|2017-07-11|Google Inc.|Unlearning techniques for adaptive language models in text entry|

---

US10063510B2|2015-03-24|2018-08-28|Facebook, Inc.|Techniques to share and remix media through a messaging system|

---

US20160285816A1|2015-03-25|2016-09-29|Facebook, Inc.|Techniques for automated determination of form responses|

---

US9672725B2|2015-03-25|2017-06-06|Microsoft Technology Licensing, Llc|Proximity-based reminders|

---

US10261482B2|2015-03-26|2019-04-16|Ca, Inc.|Initiating actions on wearable devices|

---

TWI525532B|2015-03-30|2016-03-11|Yu-Wei Chen|Set the name of the person to wake up the name for voice manipulation|

---

US10192546B1|2015-03-30|2019-01-29|Amazon Technologies, Inc.|Pre-wakeword speech processing|

---

US9484021B1|2015-03-30|2016-11-01|Amazon Technologies, Inc.|Disambiguation in speech recognition|

---

US20170032783A1|2015-04-01|2017-02-02|Elwha Llc|Hierarchical Networked Command Recognition|

---

US20160379641A1|2015-06-29|2016-12-29|Microsoft Technology Licensing, Llc|Auto-Generation of Notes and Tasks From Passive Recording|

---

US10049099B2|2015-04-10|2018-08-14|Facebook, Inc.|Spell correction with hidden markov models on online social networks|

---

US9678664B2|2015-04-10|2017-06-13|Google Inc.|Neural network for keyboard input decoding|

---

US10095683B2|2015-04-10|2018-10-09|Facebook, Inc.|Contextual speller models on online social networks|

---

US10021209B2|2015-04-10|2018-07-10|Open Text Sa Ulc|Systems and methods for caching of managed content in a distributed environment using a multi-tiered architecture|

---

US9842105B2|2015-04-16|2017-12-12|Apple Inc.|Parsimonious continuous-space phrase representations for natural language processing|

---

KR102269035B1|2015-04-21|2021-06-24|삼성전자주식회사|Server and method for controlling a group action|

---

WO2016175354A1|2015-04-29|2016-11-03|주식회사 아카인텔리전스|Artificial intelligence conversation device and method|

---

GB2537903B|2015-04-30|2019-09-04|Toshiba Res Europe Limited|Device and method for a spoken dialogue system|

---

US9953063B2|2015-05-02|2018-04-24|Lithium Technologies, Llc|System and method of providing a content discovery platform for optimizing social network engagements|

---

US20160328205A1|2015-05-05|2016-11-10|Motorola Mobility Llc|Method and Apparatus for Voice Operation of Mobile Applications Having Unnamed View Elements|

---

US9892363B2|2015-05-07|2018-02-13|Truemotion, Inc.|Methods and systems for sensor-based driving data collection|

---

US9953648B2|2015-05-11|2018-04-24|Samsung Electronics Co., Ltd.|Electronic device and method for controlling the same|

---

US9906482B2|2015-05-13|2018-02-27|The Travelers Indemnity Company|Predictive electronic message management systems and controllers|

---

US20160337299A1|2015-05-13|2016-11-17|Google Inc.|Prioritized notification display|

---

KR20160136013A|2015-05-19|2016-11-29|엘지전자 주식회사|Mobile terminal and method for controlling the same|

---

US10861449B2|2015-05-19|2020-12-08|Sony Corporation|Information processing device and information processing method|

---

US10061848B2|2015-05-22|2018-08-28|Microsoft Technology Licensing, Llc|Ontology-crowd-relevance deep response generation|

---

US10083688B2|2015-05-27|2018-09-25|Apple Inc.|Device voice control for selecting a displayed affordance|

---

US10200824B2|2015-05-27|2019-02-05|Apple Inc.|Systems and methods for proactively identifying and surfacing relevant content on a touch-sensitive device|

---

EP3792842A1|2015-05-27|2021-03-17|Orion Labs|Intelligent agent features for wearable personal communication nodes|

---

US10097973B2|2015-05-27|2018-10-09|Apple Inc.|Systems and methods for proactively identifying and surfacing relevant content on a touch-sensitive device|

---

US10127220B2|2015-06-04|2018-11-13|Apple Inc.|Language identification from short strings|

---

KR102005071B1|2015-06-05|2019-07-30|애플 인크.|Change of companion communication device behavior based on wearable device state|

---

US9578173B2|2015-06-05|2017-02-21|Apple Inc.|Virtual assistant aided communication with 3rd party service in a communication session|

---

US10505884B2|2015-06-05|2019-12-10|Microsoft Technology Licensing, Llc|Entity classification and/or relationship identification|

---

US10101822B2|2015-06-05|2018-10-16|Apple Inc.|Language input correction|

---

US9865265B2|2015-06-06|2018-01-09|Apple Inc.|Multi-microphone speech recognition systems and related techniques|

---

US10255907B2|2015-06-07|2019-04-09|Apple Inc.|Automatic accent detection using acoustic models|

---

US11025565B2|2015-06-07|2021-06-01|Apple Inc.|Personalized prediction of responses for instant messaging|

---

US10186254B2|2015-06-07|2019-01-22|Apple Inc.|Context-based endpoint detection|

---

US20160357861A1|2015-06-07|2016-12-08|Apple Inc.|Natural language event detection|

---

US20160365101A1|2015-06-15|2016-12-15|Motorola Mobility Llc|Enabling Event Driven Voice Interaction with a Device|

---

US20160371250A1|2015-06-16|2016-12-22|Microsoft Technology Licensing, Llc|Text suggestion using a predictive grammar model|

---

US20160372112A1|2015-06-18|2016-12-22|Amgine Technologies , Inc.|Managing Interactions between Users and Applications|

---

US9767386B2|2015-06-23|2017-09-19|Adobe Systems Incorporated|Training a classifier algorithm used for automatically generating tags to be applied to images|

---

CN104951077A|2015-06-24|2015-09-30|百度在线网络技术（北京）有限公司|Man-machine interaction method and device based on artificial intelligence and terminal equipment|

---

KR102317526B1|2015-06-25|2021-10-26|엘지전자 주식회사|Headset and controlling mrthod thereof|

---

US10325590B2|2015-06-26|2019-06-18|Intel Corporation|Language model modification for local speech recognition systems using remote sources|

---

US10019992B2|2015-06-29|2018-07-10|Disney Enterprises, Inc.|Speech-controlled actions based on keywords and context thereof|

---

US20160378747A1|2015-06-29|2016-12-29|Apple Inc.|Virtual assistant for media playback|

---

US9536527B1|2015-06-30|2017-01-03|Amazon Technologies, Inc.|Reporting operational metrics in speech-based systems|

---

US20170004824A1|2015-06-30|2017-01-05|Samsung Electronics Co., Ltd.|Speech recognition apparatus, speech recognition method, and electronic device|

---

US9998597B2|2015-07-06|2018-06-12|Nuance Communications, Inc.|Systems and methods for facilitating communication using an interactive communication system|

---

US10073887B2|2015-07-06|2018-09-11|Conduent Business Services, Llc|System and method for performing k-nearest neighbor search based on minimax distance measure and efficient outlier detection|

---

CN105100356B|2015-07-07|2018-04-06|上海斐讯数据通信技术有限公司|The method and system that a kind of volume automatically adjusts|

---

JP2017019331A|2015-07-08|2017-01-26|Ntn株式会社|Motor driving device for vehicle|

---

US20170011303A1|2015-07-09|2017-01-12|Qualcomm Incorporated|Contact-Based Predictive Response|

---

US10249297B2|2015-07-13|2019-04-02|Microsoft Technology Licensing, Llc|Propagating conversational alternatives using delayed hypothesis binding|

---

US10426037B2|2015-07-15|2019-09-24|International Business Machines Corporation|Circuitized structure with 3-dimensional configuration|

---

US10311384B2|2015-07-29|2019-06-04|Microsoft Technology Licensing, Llc|Automatic creation and maintenance of a taskline|

---

KR20170014297A|2015-07-29|2017-02-08|엘지전자 주식회사|Watch-type mobile terminal and method for controlling the same|

---

US10255921B2|2015-07-31|2019-04-09|Google Llc|Managing dialog data providers|

---

US9691361B2|2015-08-03|2017-06-27|International Business Machines Corporation|Adjusting presentation of content on a display|

---

US20170039283A1|2015-08-03|2017-02-09|Microsoft Technology Licensing, Llc|Searching Based on the Persona of Another|

---

JP5906345B1|2015-08-05|2016-04-20|株式会社Ｃｙｇａｍｅｓ|Program, electronic device, system and control method for predicting touch target based on operation history|

---

US10248308B2|2015-08-10|2019-04-02|Apple Inc.|Devices, methods, and graphical user interfaces for manipulating user interfaces with physical gestures|

---

KR20170022445A|2015-08-20|2017-03-02|삼성전자주식회사|Apparatus and method for speech recognition based on unified model|

---

US10362978B2|2015-08-28|2019-07-30|Comcast Cable Communications, Llc|Computational model for mood|

---

US20170061423A1|2015-09-01|2017-03-02|Bank Of America Corporation|Use of wearable as an account control system|

---

US10747498B2|2015-09-08|2020-08-18|Apple Inc.|Zero latency digital assistant|

---

US10740384B2|2015-09-08|2020-08-11|Apple Inc.|Intelligent automated assistant for media search and playback|

---

US10671428B2|2015-09-08|2020-06-02|Apple Inc.|Distributed personal assistant|

---

US10331312B2|2015-09-08|2019-06-25|Apple Inc.|Intelligent automated assistant in a media environment|

---

US10026399B2|2015-09-11|2018-07-17|Amazon Technologies, Inc.|Arbitration between voice-enabled devices|

---

US9736318B2|2015-09-16|2017-08-15|International Business Machines Corporation|Adaptive voice-text transmission|

---

US9665567B2|2015-09-21|2017-05-30|International Business Machines Corporation|Suggesting emoji characters based on current contextual emotional state of user|

---

US9875081B2|2015-09-21|2018-01-23|Amazon Technologies, Inc.|Device selection for providing a response|

---

US20170085547A1|2015-09-22|2017-03-23|International Business Machines Corporation|Storing, indexing and recalling data based on brain activity|

---

US9734142B2|2015-09-22|2017-08-15|Facebook, Inc.|Universal translation|

---

US9990040B2|2015-09-25|2018-06-05|Immersion Corporation|Haptic CAPTCHA|

---

US11010550B2|2015-09-29|2021-05-18|Apple Inc.|Unified language modeling framework for word prediction, auto-completion and auto-correction|

---

US20170091612A1|2015-09-30|2017-03-30|Apple Inc.|Proactive assistant with memory assistance|

---

US20170092278A1|2015-09-30|2017-03-30|Apple Inc.|Speaker recognition|

---

US20170092270A1|2015-09-30|2017-03-30|Apple Inc.|Intelligent device identification|

---

US20170102837A1|2015-10-07|2017-04-13|Spotify Ab|Dynamic control of playlists using wearable devices|

---

US10891106B2|2015-10-13|2021-01-12|Google Llc|Automatic batch voice commands|

---

US10083685B2|2015-10-13|2018-09-25|GM Global Technology Operations LLC|Dynamically adding or removing functionality to speech recognition systems|

---

AU2016346341B2|2015-10-26|2019-08-08|[24]7.ai, Inc.|Method and apparatus for facilitating customer intent prediction|

---

US10146874B2|2015-10-28|2018-12-04|Fujitsu Limited|Refining topic representations|

---

US20170125016A1|2015-11-02|2017-05-04|Le Holdings Co., Ltd.|Method and electronic device for processing voice messages|

---

US9691378B1|2015-11-05|2017-06-27|Amazon Technologies, Inc.|Methods and devices for selectively ignoring captured audio data|

---

US10691473B2|2015-11-06|2020-06-23|Apple Inc.|Intelligent automated assistant in a messaging environment|

---

US10956666B2|2015-11-09|2021-03-23|Apple Inc.|Unconventional virtual assistant interactions|

---

US9804681B2|2015-11-10|2017-10-31|Motorola Mobility Llc|Method and system for audible delivery of notifications partially presented on an always-on display|

---

KR20170055893A|2015-11-12|2017-05-22|삼성전자주식회사|Electronic device and method for performing action according to proximity of external object|

---

US10255611B2|2015-11-20|2019-04-09|International Business Machines Corporation|Determining pricing using categorized costs with tree structures|

---

US9697393B2|2015-11-20|2017-07-04|Symbol Technologies, Llc|Methods and systems for adjusting mobile-device operating parameters based on housing-support type|

---

CN105897675A|2015-11-27|2016-08-24|乐视云计算有限公司|Video service providing method, access authentication method, server and system|

---

US10063932B2|2015-11-30|2018-08-28|Rovi Guides, Inc.|Systems and methods for providing a contextual menu with information related to an emergency alert|

---

KR20170063037A|2015-11-30|2017-06-08|삼성전자주식회사|Apparatus and method for speech recognition|

---

US10546015B2|2015-12-01|2020-01-28|Facebook, Inc.|Determining and utilizing contextual meaning of digital standardized image characters|

---

US10049668B2|2015-12-02|2018-08-14|Apple Inc.|Applying neural network language models to weighted finite state transducers for automatic speech recognition|

---

US10796693B2|2015-12-09|2020-10-06|Lenovo Pte. Ltd.|Modifying input based on determined characteristics|

---

US9990921B2|2015-12-09|2018-06-05|Lenovo Pte. Ltd.|User focus activated voice recognition|

---

US10685170B2|2015-12-16|2020-06-16|Microsoft Technology Licensing, Llc|Dynamic content layout generator|

---

US10223066B2|2015-12-23|2019-03-05|Apple Inc.|Proactive assistance based on dialog communication between devices|

---

WO2017116839A1|2015-12-29|2017-07-06|Machine Zone, Inc.|Systems and methods for suggesting emoji|

---

US9716795B1|2015-12-30|2017-07-25|Qualcomm Incorporated|Diversion of a call to a wearable device|

---

US20170193083A1|2016-01-06|2017-07-06|International Business Machines Corporation|Identifying message content related to an event utilizing natural language processing and performing an action pertaining to the event|

---

CN105718448B|2016-01-13|2019-03-19|北京新美互通科技有限公司|The method and apparatus that a kind of pair of input character carries out automatic translation|

---

US9747289B2|2016-01-13|2017-08-29|Disney Enterprises, Inc.|System and method for proximity-based personalized content recommendations|

---

US9792534B2|2016-01-13|2017-10-17|Adobe Systems Incorporated|Semantic natural language vector space|

---

US20170206899A1|2016-01-20|2017-07-20|Fitbit, Inc.|Better communication channel for requests and responses having an intelligent agent|

---

KR20170088675A|2016-01-25|2017-08-02|삼성전자주식회사|User terminal device and control method thereof|

---

US9922647B2|2016-01-29|2018-03-20|International Business Machines Corporation|Approach to reducing the response time of a speech interface|

---

US10055489B2|2016-02-08|2018-08-21|Ebay Inc.|System and method for content-based media analysis|

---

US9858927B2|2016-02-12|2018-01-02|Amazon Technologies, Inc|Processing spoken commands to control distributed audio outputs|

---

US10431218B2|2016-02-15|2019-10-01|EVA Automation, Inc.|Integration and probabilistic control of electronic devices|

---

US9965247B2|2016-02-22|2018-05-08|Sonos, Inc.|Voice controlled media playback system based on user profile|

---

US9820039B2|2016-02-22|2017-11-14|Sonos, Inc.|Default playback devices|

---

US20180063308A1|2016-02-23|2018-03-01|Bioworld Merchandising|System and Method for Voice Recognition|

---

US9779735B2|2016-02-24|2017-10-03|Google Inc.|Methods and systems for detecting and processing speech signals|

---

US9922648B2|2016-03-01|2018-03-20|Google Llc|Developer voice actions system|

---

US10404829B2|2016-03-11|2019-09-03|Wipro Limited|Method and system for achieving improved quality of service for content delivery in a SDN controller based communication network|

---

DK201670539A1|2016-03-14|2017-10-02|Apple Inc|Dictation that allows editing|

---

US10446143B2|2016-03-14|2019-10-15|Apple Inc.|Identification of voice inputs providing credentials|

---

US10304444B2|2016-03-23|2019-05-28|Amazon Technologies, Inc.|Fine-grained natural language understanding|

---

US10365887B1|2016-03-25|2019-07-30|Amazon Technologies, Inc.|Generating commands based on location and wakeword|

---

US20170286397A1|2016-03-30|2017-10-05|International Business Machines Corporation|Predictive Embeddings|

---

US10979843B2|2016-04-08|2021-04-13|Qualcomm Incorporated|Spatialized audio output based on predicted position data|

---

US20170311005A1|2016-04-26|2017-10-26|Szu-Tung Lin|Method of wireless audio transmission and playback|

---

US10431205B2|2016-04-27|2019-10-01|Conduent Business Services, Llc|Dialog device with dialog support generated using a mixture of language models combined using a recurrent neural network|

---

CN108604179A|2016-05-10|2018-09-28|谷歌有限责任公司|The realization of voice assistant in equipment|

---

RU2632144C1|2016-05-12|2017-10-02|Общество С Ограниченной Ответственностью "Яндекс"|Computer method for creating content recommendation interface|

---

KR20170128820A|2016-05-16|2017-11-24|엘지전자 주식회사|Mobile terminal and method for controlling the same|

---

US9934775B2|2016-05-26|2018-04-03|Apple Inc.|Unit-selection text-to-speech synthesis based on predicted concatenation parameters|

---

US10832665B2|2016-05-27|2020-11-10|Centurylink Intellectual Property Llc|Internet of things human interface apparatus, system, and method|

---

US9922655B2|2016-05-31|2018-03-20|International Business Machines Corporation|System, method, and recording medium for controlling dialogue interruptions by a speech output device|

---

US9972304B2|2016-06-03|2018-05-15|Apple Inc.|Privacy preserving distributed evaluation framework for embedded personalized systems|

---

US11227589B2|2016-06-06|2022-01-18|Apple Inc.|Intelligent list reading|

---

US10249300B2|2016-06-06|2019-04-02|Apple Inc.|Intelligent list reading|

---

US10049663B2|2016-06-08|2018-08-14|Apple, Inc.|Intelligent automated assistant for media exploration|

---

DK179309B1|2016-06-09|2018-04-23|Apple Inc|Intelligent automated assistant in a home environment|

---

US10490187B2|2016-06-10|2019-11-26|Apple Inc.|Digital assistant providing automated status report|

---

US10127926B2|2016-06-10|2018-11-13|Google Llc|Securely executing voice actions with speaker identification and authentication input types|

---

US10067938B2|2016-06-10|2018-09-04|Apple Inc.|Multilingual word prediction|

---

US10592601B2|2016-06-10|2020-03-17|Apple Inc.|Multilingual word prediction|

---

US10192552B2|2016-06-10|2019-01-29|Apple Inc.|Digital assistant providing whispered speech|

---

US10509862B2|2016-06-10|2019-12-17|Apple Inc.|Dynamic phrase expansion of language input|

---

US10586535B2|2016-06-10|2020-03-10|Apple Inc.|Intelligent digital assistant in a multi-tasking environment|

---

DK201670540A1|2016-06-11|2018-01-08|Apple Inc|Application integration with a digital assistant|

---

AU2017100486C4|2016-06-11|2019-09-05|Apple Inc.|Intelligent device arbitration and control|

---

DK179049B1|2016-06-11|2017-09-18|Apple Inc|Data driven natural language event detection and classification|

---

DK179343B1|2016-06-11|2018-05-14|Apple Inc|Intelligent task discovery|

---

DK179415B1|2016-06-11|2018-06-14|Apple Inc|Intelligent device arbitration and control|

---

US11232136B2|2016-06-27|2022-01-25|Google Llc|Contextual voice search suggestions|

---

US10200397B2|2016-06-28|2019-02-05|Microsoft Technology Licensing, Llc|Robust matching for identity screening|

---

US9990176B1|2016-06-28|2018-06-05|Amazon Technologies, Inc.|Latency reduction for content playback|

---

US20180007096A1|2016-06-30|2018-01-04|Microsoft Technology Licensing, Llc|Weighted data center reselection|

---

GB201611380D0|2016-06-30|2016-08-17|Microsoft Technology Licensing Llc|Artificial neural network with side input for language modelling and prediction|

---

US10491598B2|2016-06-30|2019-11-26|Amazon Technologies, Inc.|Multi-factor authentication to access services|

---

US10467114B2|2016-07-14|2019-11-05|International Business Machines Corporation|Hierarchical data processor tester|

---

US9825801B1|2016-07-22|2017-11-21|Spotify Ab|Systems and methods for using seektables to stream media items|

---

US10726836B2|2016-08-12|2020-07-28|Kt Corporation|Providing audio and video feedback with character based on voice command|

---

US10326869B2|2016-08-19|2019-06-18|Amazon Technologies, Inc.|Enabling voice control of telephone device|

---

US20180060312A1|2016-08-23|2018-03-01|Microsoft Technology Licensing, Llc|Providing ideogram translation|

---

US10110272B2|2016-08-24|2018-10-23|Centurylink Intellectual Property Llc|Wearable gesture control device and method|

---

US11200026B2|2016-08-26|2021-12-14|Bragi GmbH|Wireless earpiece with a passive virtual assistant|

---

US10313779B2|2016-08-26|2019-06-04|Bragi GmbH|Voice assistant system for wireless earpieces|

---

US10192551B2|2016-08-30|2019-01-29|Google Llc|Using textual input and user state information to generate reply content to present in response to the textual input|

---

US10217462B2|2016-08-31|2019-02-26|Microsoft Technology Licensing, Llc|Automating natural language task/dialog authoring by leveraging existing content|

---

US10474753B2|2016-09-07|2019-11-12|Apple Inc.|Language identification using recurrent neural networks|

---

CN107809372A|2016-09-08|2018-03-16|阿里巴巴集团控股有限公司|The generation method of activity reminder message, movable based reminding method and device|

---

US10566007B2|2016-09-08|2020-02-18|The Regents Of The University Of Michigan|System and method for authenticating voice commands for a voice assistant|

---

US10403273B2|2016-09-09|2019-09-03|Oath Inc.|Method and system for facilitating a guided dialog between a user and a conversational agent|

---

US20180089166A1|2016-09-23|2018-03-29|Apple Inc.|User interface for providing text prediction|

---

US10043516B2|2016-09-23|2018-08-07|Apple Inc.|Intelligent automated assistant|

---

US20180088969A1|2016-09-28|2018-03-29|Lenovo Pte. Ltd.|Method and device for presenting instructional content|

---

JP6683893B2|2016-10-03|2020-04-22|グーグル エルエルシー|Processing voice commands based on device topology|

---

US20180107917A1|2016-10-19|2018-04-19|Ebay Inc.|Applying a quantitative range for qualitative terms|

---

CN106484139B|2016-10-19|2019-01-29|北京新美互通科技有限公司|Emoticon recommended method and device|

---

US10678502B2|2016-10-20|2020-06-09|Qualcomm Incorporated|Systems and methods for in-ear control of remote devices|

---

US10950230B2|2016-10-28|2021-03-16|Panasonic Intellectual Property Corporation Of America|Information processing device and information processing method|

---

US10783883B2|2016-11-03|2020-09-22|Google Llc|Focus session at a voice interface device|

---

US10777201B2|2016-11-04|2020-09-15|Microsoft Technology Licensing, Llc|Voice enabled bot platform|

---

US9967381B1|2017-11-03|2018-05-08|Republic Wireless, Inc.|Virtual telephony assistant|

---

US10127908B1|2016-11-11|2018-11-13|Amazon Technologies, Inc.|Connected accessory for a voice-controlled device|

---

US10515632B2|2016-11-15|2019-12-24|At&T Intellectual Property I, L.P.|Asynchronous virtual assistant|

---

US10170110B2|2016-11-17|2019-01-01|Robert Bosch Gmbh|System and method for ranking of hybrid speech recognition results with neural networks|

---

US10332523B2|2016-11-18|2019-06-25|Google Llc|Virtual assistant identification of nearby computing devices|

---

AU2017363273A1|2016-11-23|2019-06-06|Alarm.Com Incorporated|Detection of authorized user presence and handling of unauthenticated monitoring system commands|

---

US10331791B2|2016-11-23|2019-06-25|Amazon Technologies, Inc.|Service for developing dialog-driven applications|

---

KR20180060328A|2016-11-28|2018-06-07|삼성전자주식회사|Electronic apparatus for processing multi-modal input, method for processing multi-modal input and sever for processing multi-modal input|

---

GB201620235D0|2016-11-29|2017-01-11|Microsoft Technology Licensing Llc|Neural network data entry system|

---

US9934785B1|2016-11-30|2018-04-03|Spotify Ab|Identification of taste attributes from an audio signal|

---

JP2018101828A|2016-12-19|2018-06-28|船井電機株式会社|Control device|

---

US10593346B2|2016-12-22|2020-03-17|Apple Inc.|Rank-reduced token representation for automatic speech recognition|

---

US10210864B2|2016-12-29|2019-02-19|T-Mobile Usa, Inc.|Voice command for communication between related devices|

---

US11204787B2|2017-01-09|2021-12-21|Apple Inc.|Application integration with a digital assistant|

---

US9747083B1|2017-01-23|2017-08-29|Essential Products, Inc.|Home device application programming interface|

---

US10136364B2|2017-01-24|2018-11-20|Essential Products, Inc.|Media and communications in a connected environment|

---

CN108509119A|2017-02-28|2018-09-07|三星电子株式会社|Operating method and its electronic equipment of support for the electronic equipment that function executes|

---

KR20180101063A|2017-03-03|2018-09-12|삼성전자주식회사|Electronic apparatus for processing user input and method for processing user input|

---

DE102017203570A1|2017-03-06|2018-09-06|Volkswagen Aktiengesellschaft|METHOD AND DEVICE FOR PRESENTING RECOMMENDED OPERATING OPERATIONS OF A PROPOSING SYSTEM AND INTERACTION WITH THE PROPOSING SYSTEM|

---

US10096319B1|2017-03-13|2018-10-09|Amazon Technologies, Inc.|Voice-based determination of physical and emotional characteristics of users|

---

US10074371B1|2017-03-14|2018-09-11|Amazon Technologies, Inc.|Voice control of remote device by disabling wakeword detection|

---

US20180270343A1|2017-03-20|2018-09-20|Motorola Mobility Llc|Enabling event-driven voice trigger phrase on an electronic device|

---

US10547729B2|2017-03-27|2020-01-28|Samsung Electronics Co., Ltd.|Electronic device and method of executing function of electronic device|

---

US20180285056A1|2017-03-28|2018-10-04|Microsoft Technology Licensing, Llc|Accessory human interface device|

---

KR20180117485A|2017-04-19|2018-10-29|삼성전자주식회사|Electronic device for processing user utterance and method for operation thereof|

---

KR102298947B1|2017-04-28|2021-09-08|삼성전자주식회사|Voice data processing method and electronic device supporting the same|

---

US10313782B2|2017-05-04|2019-06-04|Apple Inc.|Automatic speech recognition triggering system|

---

US10282416B2|2017-05-05|2019-05-07|Apple Inc.|Unified framework for text conversion and prediction|

---

US10902855B2|2017-05-08|2021-01-26|Motorola Mobility Llc|Methods and devices for negotiating performance of control operations with acoustic signals|

---

DK201770383A1|2017-05-09|2018-12-14|Apple Inc.|User interface for correcting recognition errors|

---

US10417266B2|2017-05-09|2019-09-17|Apple Inc.|Context-aware ranking of intelligent response suggestions|

---

DK201770439A1|2017-05-11|2018-12-13|Apple Inc.|Offline personal assistant|

---

US10726832B2|2017-05-11|2020-07-28|Apple Inc.|Maintaining privacy of personal information|

---

US10395654B2|2017-05-11|2019-08-27|Apple Inc.|Text normalization based on a data-driven learning network|

---

DK179496B1|2017-05-12|2019-01-15|Apple Inc.|USER-SPECIFIC Acoustic Models|

---

DK179745B1|2017-05-12|2019-05-01|Apple Inc.|SYNCHRONIZATION AND TASK DELEGATION OF A DIGITAL ASSISTANT|

---

US20180329957A1|2017-05-12|2018-11-15|Apple Inc.|Feedback analysis of a digital assistant|

---

US20180330714A1|2017-05-12|2018-11-15|Apple Inc.|Machine learned systems|

---

DK201770427A1|2017-05-12|2018-12-20|Apple Inc.|Low-latency intelligent automated assistant|

---

DK201770432A1|2017-05-15|2018-12-21|Apple Inc.|Hierarchical belief states for digital assistants|

---

DK201770431A1|2017-05-15|2018-12-20|Apple Inc.|Optimizing dialogue policy decisions for digital assistants using implicit feedback|

---

DK201770411A1|2017-05-15|2018-12-20|Apple Inc.|Multi-modal interfaces|

---

CN110021300B|2017-05-16|2021-07-06|苹果公司|Far field extension for digital assistant services|

---

US11048995B2|2017-05-16|2021-06-29|Google Llc|Delayed responses by computational assistant|

---

DK179549B1|2017-05-16|2019-02-12|Apple Inc.|Far-field extension for digital assistant services|

---

US20180336275A1|2017-05-16|2018-11-22|Apple Inc.|Intelligent automated assistant for media exploration|

---

US10395659B2|2017-05-16|2019-08-27|Apple Inc.|Providing an auditory-based interface of a digital assistant|

---

US20180336892A1|2017-05-16|2018-11-22|Apple Inc.|Detecting a trigger of a digital assistant|

---

US10311144B2|2017-05-16|2019-06-04|Apple Inc.|Emoji word sense disambiguation|

---

US10170137B2|2017-05-18|2019-01-01|International Business Machines Corporation|Voice signal component forecaster|

---

US20180349346A1|2017-06-02|2018-12-06|Apple Inc.|Lattice-based techniques for providing spelling corrections|

---

US20180349472A1|2017-06-02|2018-12-06|Apple Inc.|Methods and systems for providing query suggestions|

---

US10657328B2|2017-06-02|2020-05-19|Apple Inc.|Multi-task recurrent neural network architecture for efficient morphology handling in neural language modeling|

---

US20180349447A1|2017-06-02|2018-12-06|Apple Inc.|Methods and systems for customizing suggestions using user-specific information|

---

US10453451B2|2017-07-05|2019-10-22|Comcast Cable Communications, Llc|Methods and systems for using voice to control multiple devices|

---

US20190013025A1|2017-07-10|2019-01-10|Google Inc.|Providing an ambient assist mode for computing devices|

---

US10467552B2|2017-07-31|2019-11-05|Pearson Education, Inc.|System and method for automatic content provisioning|

---

JP6929168B2|2017-08-31|2021-09-01|キヤノン株式会社|Voice control devices, printing devices, their control methods and programs|

---

US11004444B2|2017-09-08|2021-05-11|Amazon Technologies, Inc.|Systems and methods for enhancing user experience by communicating transient errors|

---

US10445429B2|2017-09-21|2019-10-15|Apple Inc.|Natural language understanding using vocabularies with compressed serialized tries|

---

US10755051B2|2017-09-29|2020-08-25|Apple Inc.|Rule-based natural language processing|

---

US10636424B2|2017-11-30|2020-04-28|Apple Inc.|Multi-turn canned dialog|

---

CN107919123A|2017-12-07|2018-04-17|北京小米移动软件有限公司|More voice assistant control method, device and computer-readable recording medium|

---

US10733982B2|2018-01-08|2020-08-04|Apple Inc.|Multi-directional dialog|

---

US10733375B2|2018-01-31|2020-08-04|Apple Inc.|Knowledge-based framework for improving natural language understanding|

---

US11145298B2|2018-02-13|2021-10-12|Roku, Inc.|Trigger word detection with multiple digital assistants|

---

US10789959B2|2018-03-02|2020-09-29|Apple Inc.|Training speaker recognition models for digital assistants|

---

US10592604B2|2018-03-12|2020-03-17|Apple Inc.|Inverse text normalization for automatic speech recognition|

---

KR20190111624A|2018-03-23|2019-10-02|삼성전자주식회사|Electronic device and method for providing voice recognition control thereof|

---

DK179822B1|2018-06-01|2019-07-12|Apple Inc.|Voice interaction at a primary device to access call functionality of a companion device|

---

CN111046150A|2018-10-15|2020-04-21|阿里巴巴集团控股有限公司|Human-computer interaction processing system and method, storage medium and electronic device|

---

US20200342863A1|2019-02-12|2020-10-29|Google Llc|Directing a vehicle client device to use on-device functionality|US10255566B2|2011-06-03|2019-04-09|Apple Inc.|Generating and processing task items that represent tasks to perform|

---

CN113470640A|2013-02-07|2021-10-01|苹果公司|Voice trigger of digital assistant|

---

US10170123B2|2014-05-30|2019-01-01|Apple Inc.|Intelligent assistant for home automation|

---

US9715875B2|2014-05-30|2017-07-25|Apple Inc.|Reducing the need for manual start/end-pointing and trigger phrases|

---

US9886953B2|2015-03-08|2018-02-06|Apple Inc.|Virtual assistant activation|

---

US10200824B2|2015-05-27|2019-02-05|Apple Inc.|Systems and methods for proactively identifying and surfacing relevant content on a touch-sensitive device|

---

US10747498B2|2015-09-08|2020-08-18|Apple Inc.|Zero latency digital assistant|

---

US10586535B2|2016-06-10|2020-03-10|Apple Inc.|Intelligent digital assistant in a multi-tasking environment|

---

DK201670540A1|2016-06-11|2018-01-08|Apple Inc|Application integration with a digital assistant|

---

US20180197438A1|2017-01-10|2018-07-12|International Business Machines Corporation|System for enhancing speech performance via pattern detection and learning|

---

US10928918B2|2018-05-07|2021-02-23|Apple Inc.|Raise to speak|

---

DK179822B1|2018-06-01|2019-07-12|Apple Inc.|Voice interaction at a primary device to access call functionality of a companion device|

---

DK180639B1|2018-06-01|2021-11-04|Apple Inc|DISABILITY OF ATTENTION-ATTENTIVE VIRTUAL ASSISTANT|

---

DK180129B1|2019-05-31|2020-06-02|Apple Inc.|User activity shortcut suggestions|

---

US11262978B1|2019-06-19|2022-03-01|Amazon Technologies, Inc.|Voice-adapted reformulation of web-based answers|

---

US10812608B1|2019-10-31|2020-10-20|Salesforce.Com, Inc.|Recipient-based filtering in a publish-subscribe messaging system|

---

US11061543B1|2020-05-11|2021-07-13|Apple Inc.|Providing relevant data items based on context|

法律状态:
2021-01-08| PAT| Application published|Effective date: 20201107 |

优先权:

---

申请号 | 申请日 | 专利标题

---

US201962843676P| true| 2019-05-06|2019-05-06|PCT/US2020/025775| WO2020226784A1|2019-05-06|2020-03-30|Spoken notifications|

---

EP20721983.3A| EP3948867A1|2019-05-06|2020-03-30|Spoken notifications|

---

CN202010364575.7A| CN111899739A|2019-05-06|2020-04-30|Voice notification|