Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for receiving audio data including an utterance, obtaining context data that indicates one or more expected speech recognition results, determining an expected speech recognition result based on the context data, receiving an intermediate speech recognition result generated by a speech recognition engine, comparing the intermediate speech recognition result to the expected speech recognition result for the audio data based on the context data, determining whether the intermediate speech recognition result corresponds to the expected speech recognition result for the audio data based on the context data, and setting an end of speech condition and providing a final speech recognition result in response to determining the intermediate speech recognition result matches the expected speech recognition result, the final speech recognition result including the one or more expected speech recognition results indicated b

Abstract: In some implementations, data indicating a touch received on a proximity-sensitive display is received while the proximity-sensitive display is presenting one or more items. In one aspect, the techniques describe may involve a process for disambiguating touch selections of hypothesized items, such as text or graphical objects that have been generated based on input data, on a proximity-sensitive display. This process may allow a user to more easily select hypothesized items that the user may wish to correct, by determining whether a touch received through the proximity-sensitive display represents a selection of each hypothesized item based at least on a level of confidence that the hypothesized item accurately represents the input data.

Abstract: The subject matter of this specification can be embodied in, among other things, a method that includes receiving two or more data sets each representing speech of a corresponding individual attending an internet-based social networking video conference session, decoding the received data sets to produce corresponding text for each individual attending the internet-based social networking video conference, and detecting characteristics of the session from a coalesced transcript produced from the decoded text of the attending individuals for providing context to the internet-based social networking video conference session.

Abstract: A method of adding a computing device to a multi-device video communication session. A server receives recorded content from a plurality of multi-device video communication sessions and a search request from a computing device. The server identifies a first multi-device video communication session based on the search request. The first multi-device video communication session includes a weighted list of text elements. The server transmits information based on the weighted list of text elements to the computing device, receives a selection from the computing device corresponding to a first text element, and transmits at least a portion of the recorded content from the first multi-device video communication session to the computing device based on the first text element. The server receives an add request for the computing device to be added to the first multi-device video communication session and transmits the add request to the first multi-device video communication session.

Abstract: The disclosed subject matter provides a main device and at least one secondary device. The at least one secondary device and the main device may operate in cooperation with one another and other networked components to provide improved performance, such as improved speech and other signal recognition operations. Using the improved recognition results, a higher probability of generating the proper commands to a controllable device is provided.

Abstract: A method of adding a computing device to a multi-device video communication session. A server receives recorded content from a plurality of multi-device video communication sessions and a search request from a computing device. The server identifies a first multi-device video communication session based on the search request. The first multi-device video communication session includes a weighted list of text elements. The server transmits information based on the weighted list of text elements to the computing device, receives a selection from the computing device corresponding to a first text element, and transmits at least a portion of the recorded content from the first multi-device video communication session to the computing device based on the first text element. The server receives an add request for the computing device to be added to the first multi-device video communication session and transmits the add request to the first multi-device video communication session.

Abstract: A method of multi-device video communication. A server receives recorded content from a multi-device video communication session and processes the recorded content to detect vocal expressions from a plurality of participants. The server generates a plurality of text elements each corresponding to one or more of the vocal expressions. The server receives at least one rating for at least one participant of the plurality of participants and generates a word cloud based on the plurality of text elements and at least in part on the at least one rating for the at least one participant.

Abstract: The subject matter of this specification can be embodied in, among other things, a method that includes receiving two or more data sets each representing speech of a corresponding individual attending an internet-based social networking video conference session, decoding the received data sets to produce corresponding text for each individual attending the internet-based social networking video conference, and detecting characteristics of the session from a coalesced transcript produced from the decoded text of the attending individuals for providing context to the internet-based social networking video conference session.

Abstract: A method for managing audio data includes identifying a condition in the audio data. A rate of playback of the audio data is automatically adjusted in response to identifying the condition. Other embodiments are disclosed.

Abstract: A distributed voice user interface system includes a local device which receives speech input issued from a user. Such speech input may specify a command or a request by the user. The local device performs preliminary processing of the speech input and determines whether it is able to respond to the command or request by itself. If not, the local device initiates communication with a remote system for further processing of the speech input.