Revising language model scores based on semantic class hypotheses
US9971765B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 13, 2014 |
| Grant date | May 15, 2018 |
| Priority date | — |
| Expiry date | Oct 3, 2034 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10L15/26
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Techniques for improved speech recognition disclosed herein include applying a statistical language model to a free-text input utterance to obtain a plurality of candidate word sequences for automatic speech recognition of the input utterance, each of the plurality of candidate word sequences having a corresponding initial score generated by the statistical language model. For one or more of the plurality of candidate word sequences, each of the one or more candidate word sequences may be analyzed to generate one or more hypotheses for a semantic class of at least one token in the respective candidate word sequence. The initial scores generated by the statistical language model for at least the one or more candidate word sequences may be revised based at least in part on the one or more hypotheses for the semantic class of the at least one token in each of the one or more candidate word sequences.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.