Invention Grant
- Patent Title: Acoustic model training corpus selection
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Application No.: US15164263Application Date: 2016-05-25
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Publication No.: US09472187B2Publication Date: 2016-10-18
- Inventor: Olga Kapralova , John Paul Alex , Eugene Weinstein , Pedro J. Moreno Mengibar , Olivier Siohan , Ignacio Lopez Moreno
- Applicant: Google Inc.
- Applicant Address: US CA Mountain View
- Assignee: Google Inc.
- Current Assignee: Google Inc.
- Current Assignee Address: US CA Mountain View
- Agency: Fish & Richardson P.C.
- Main IPC: G10L15/06
- IPC: G10L15/06 ; G10L15/30 ; G10L15/01 ; G10L15/16

Abstract:
The present disclosure relates to training a speech recognition system. One example method includes receiving a collection of speech data items, wherein each speech data item corresponds to an utterance that was previously submitted for transcription by a production speech recognizer. The production speech recognizer uses initial production speech recognizer components in generating transcriptions of speech data items. A transcription for each speech data item is generated using an offline speech recognizer, and the offline speech recognizer components are configured to improve speech recognition accuracy in comparison with the initial production speech recognizer components. The updated production speech recognizer components are trained for the production speech recognizer using a selected subset of the transcriptions of the speech data items generated by the offline speech recognizer. An updated production speech recognizer component is provided to the production speech recognizer for use in transcribing subsequently received speech data items.
Public/Granted literature
- US20160267903A1 ACOUSTIC MODEL TRAINING CORPUS SELECTION Public/Granted day:2016-09-15
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