System and methods for adapting neural network acoustic models
US10902845B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 1, 2019 |
| Grant date | Jan 26, 2021 |
| Priority date | — |
| Expiry date | Jul 1, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10L17/02
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Techniques for adapting a trained neural network acoustic model, comprising using at least one computer hardware processor to perform: generating initial speaker information values for a speaker; generating first speech content values from first speech data corresponding to a first utterance spoken by the speaker; processing the first speech content values and the initial speaker information values using the trained neural network acoustic model; recognizing, using automatic speech recognition, the first utterance based, at least in part on results of the processing; generating updated speaker information values using the first speech data and at least one of the initial speaker information values and/or information used to generate the initial speaker information values; and recognizing, based at least in part on the updated speaker information values, a second utterance spoken by the speaker.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.