Method and apparatus for training a text independent speaker recognition system using speech data with text labels
US7813927B2 · kind B2 · utility
22Cited by
16References
13Claims
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Key dates
| Filing date | Jun 4, 2008 |
| Grant date | Oct 12, 2010 |
| Priority date | — |
| Expiry date | Aug 4, 2028 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10L15/063
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
There is provided an apparatus for providing a Text Independent (TI) speaker recognition mode in a Text Dependent (TD) Hidden Markov Model (HMM) speaker recognition system and/or a Text Constrained (TC) HMM speaker recognition system. The apparatus includes a Gaussian Mixture Model (GMM) generator and a Gaussian weight normalizer. The GMM generator is for creating a GMM by pooling Gaussians from a plurality of HMM states. The Gaussian weight normalizer is for normalizing Gaussian weights with respect to the plurality of HMM states.
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