Discriminative training of automatic speech recognition models with natural language processing dictionary for spoken language processing
US10140976B2 · kind B2 · utility
0Cited by
4References
18Claims
0Family size
Assignee
Inventors
Key dates
| Filing date | Dec 14, 2015 |
| Grant date | Nov 27, 2018 |
| Priority date | — |
| Expiry date | Jan 20, 2036 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10L2015/0638
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Methods and systems for language processing includes training one or more automatic speech recognition models using an automatic speech recognition dictionary. A set of N automatic speech recognition hypotheses for an input is determined, based on the one or more automatic speech recognition models, using a processor. A best hypothesis is selected using a discriminative language model and a list of relevant words. Natural language processing is performed on the best hypothesis.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.