Context-aware enrollment for text independent speaker recognition
US10339935B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 19, 2017 |
| Grant date | Jul 2, 2019 |
| Priority date | — |
| Expiry date | Jun 27, 2037 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10L2015/025
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Techniques are provided for training of a text independent (TI) speaker recognition (SR) model. A methodology implementing the techniques according to an embodiment includes measuring context data associated with collected TI speech utterances from a user and identifying the user based on received identity measurements. The method further includes performing a speech quality analysis and a speaker state analysis based on the utterances, and evaluating a training merit value of the utterances, based on the speech quality analysis and the speaker state analysis. If the training merit value exceeds a threshold value, the utterances are stored as training data in a training database. The database is indexed by the user identity and the context data. The method further includes determining whether the stored training data has achieved a sufficiency level for enrollment of a TI SR model, and training the TI SR model for the identified user and context.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.