Patent ID: 11972226
Assignee: GOOGLE LLC
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 0:
1. A computer-implemented method comprising:
obtaining an audio data stream;
determining a first language in which audio in the audio data stream is recorded;
generating, at each time interval in a plurality of successive time intervals, a partial transcription of the audio, wherein each partial transcription (1) is a transcription of the audio from a beginning of the audio until a particular time interval and (2) is in the first language; and
for each partial transcription:
translating the partial transcription into a second language that is different from the first language;
inputting the translated partial transcription into a machine learning model, wherein the machine learning model is configured to predict whether a portion of an input translated partial transcription is stable, the machine learning model is trained to minimize a loss function and is trained using a set of translations of transcriptions generated from one or more training audio data files recorded in the first language and a corresponding set of stability values that each indicate whether a respective set translation is stable, wherein the set of stability values are generated using a set of rules;
generating, using the machine learning model, a prediction indicating that a portion of the translated partial transcription is stable, wherein a portion of an input translated partial transcription is stable when the portion of the input translated partial transcription is not expected to change in another translated partial transcription of audio recorded until a time interval that is later than the time interval for the input partial transcription; and
in response to generating the prediction indicating that the portion of the translated partial transcription as stable, providing, for display on a user device and using the prediction, the portion of the translated partial transcription.