Speaker verification and identification using artificial neural network-based sub-phonetic unit discrimination
US9230550B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 10, 2013 |
| Grant date | Jan 5, 2016 |
| Priority date | — |
| Expiry date | Dec 16, 2033 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10L17/18
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
In one embodiment, a computer system stores speech data for a plurality of speakers, where the speech data includes a plurality of feature vectors and, for each feature vector, an associated sub-phonetic class. The computer system then builds, based on the speech data, an artificial neural network (ANN) for modeling speech of a target speaker in the plurality of speakers, where the ANN is configured to discriminate between instances of sub-phonetic classes uttered by the target speaker and instances of sub-phonetic classes uttered by other speakers in the plurality of speakers.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.