Google Inc.

Jason John Gauci

Glen Shires

Jonathan Zolla

Sterling Swigart

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.

Speech recognition and summarization

Techniques, systems, and devices for managing streaming media among end user devices in a video conferencing system are described. For example, a transcript may be automatically generated for a video conference. In one example, a method may include receiving a combined media stream comprising a plurality of media sub-streams each associated with one of a plurality of end user devices, wherein each of the plurality of media sub-streams comprises a respective video component and a respective audio component. The method may also include, for each of the media-sub-streams, separating the audio component from the respective video component, for each audio component of the respective media sub-streams, transcribing speech from the audio component to text for the respective media sub-stream, and combining the text for each of the respective media sub-streams into a combined transcription. In some examples, the combined transcription may also be translated into a user selected language.

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Mountain View, CA, United States of America

Jason John Gauci