Speaker authentication using adapted background models
US7539616B2 · kind B2 · utility
10Cited by
8References
12Claims
0Family size
Assignee
Inventors
Key dates
| Filing date | Feb 20, 2006 |
| Grant date | May 26, 2009 |
| Priority date | — |
| Expiry date | Jul 7, 2027 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10L17/08
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Speaker authentication is performed by determining a similarity score for a test utterance and a stored training utterance. Computing the similarity score involves determining the sum of a group of functions, where each function includes the product of a posterior probability of a mixture component and a difference between an adapted mean and a background mean. The adapted mean is formed based on the background mean and the test utterance. The speech content provided by the speaker for authentication can be text-independent (i.e., any content they want to say) or text-dependent (i.e., a particular phrase used for training).
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.