Class based learning for transcription errors in speech recognition tasks
US10607596B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 7, 2018 |
| Grant date | Mar 31, 2020 |
| Priority date | — |
| Expiry date | May 8, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10L2015/225
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A mistranscription generated by a speech recognition system is identified. A first class of utterance members is provided for use by the speech recognition system, each utterance class member consisting of a respective number of words. The first class is defined by a first common meaning and a first common system response if a class member of the first class is recognized. If the speech recognition system matches a received utterance to a first class member of the first class, the received utterance is sent to a mistranscription analyzer. The received utterance contains a mistranscription as compared to the first class member. Evidence is incremented by the mistranscription analyzer that the received utterance is evidence of the mistranscription of the first class member. If the incremented evidence for the mistranscription of the first class member exceeds a first threshold, a second class member is added to the first class of utterance members based on the mistranscription of the first class member. If the speech recognition system recognizes a second received utterance which matches the second class member, performing the common system response.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.