Acoustic model training corpus selection
US9378731B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 22, 2015 |
| Grant date | Jun 28, 2016 |
| Priority date | — |
| Expiry date | Apr 22, 2035 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10L2015/0633
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
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.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.