Google Inc.

Trausti T Kristjansson

John Nicholas Jitkoff

Michael J Lebeau

Matthew I Lloyd

William J Byrne

Brandon M Ballinger

Andrew William Senior

Dave Burke

Konrad Gianno

Yu-Kuan Lin

Jakob David Uszkoreit

Kirill Buryak

Michael J LeBeau

Yusuke Konishi

Joshua James Estelle

John Huang

Hung-ying Tyan

Chung-Yi Wang

Ron J Weiss

Hayden Shaw

David Talkin

Chung-yih Wang

The subject matter of this specification can be implemented in, among other things, a computer-implemented method for correcting words in transcribed text including receiving speech audio data from a microphone. The method further includes sending the speech audio data to a transcription system. The method further includes receiving a word lattice transcribed from the speech audio data by the transcription system. The method further includes presenting one or more transcribed words from the word lattice. The method further includes receiving a user selection of at least one of the presented transcribed words. The method further includes presenting one or more alternate words from the word lattice for the selected transcribed word. The method further includes receiving a user selection of at least one of the alternate words. The method further includes replacing the selected transcribed word in the presented transcribed words with the selected alternate word.

Word-level correction of speech input

A computer-implemented method of multisensory speech detection is disclosed. The method comprises determining an orientation of a mobile device and determining an operating mode of the mobile device based on the orientation of the mobile device. The method further includes identifying speech detection parameters that specify when speech detection begins or ends based on the determined operating mode and detecting speech from a user of the mobile device based on the speech detection parameters.

Multisensory speech detection

The disclosed subject matter provides a system, computer readable storage medium, and a method providing an audio and textual transcript of a communication. A conferencing services may receive audio or audio visual signals from a plurality of different devices that receive voice communications from participants in a communication, such as a chat or teleconference. The audio signals representing voice (speech) communications input into respective different devices by the participants. A translation services server may receive over a separate communication channel the audio signals for translation into a second language. As managed by the translation services server, the audio signals may be converted into textual data. The textual data may be translated into text of different languages based the language preferences of the end user devices in the teleconference. The translated text may be further translated into audio signals.

Auto-translation for multi user audio and video

Implementations include a method, systems, and computer program products for adaptively configuring codecs to transmit encoded data to better utilize available bandwidth of reachable networks. One implementation is a method of transmitting encoded data from a host to a target. The method includes, selecting a communication network reachable by the host, estimating an available bandwidth from the host to the target via the selected communication network, configuring a codec from a plurality of codecs implemented in the host according to the estimated available bandwidth, encoding data using the configured codec, and transmitting the encoded data to the target.

Matching encoder output to network bandwidth

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Mountain View, CA, United States of America

Trausti T Kristjansson