Computationally efficient method and apparatus for speaker recognition
US6772119B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 10, 2002 |
| Grant date | Aug 3, 2004 |
| Priority date | — |
| Expiry date | Jan 27, 2023 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10L17/08
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A speaker recognition technique is provided that can operate within the memory and processing constraints of existing portable computing devices. A smaller memory footprint and computational efficiency are achieved using single Gaussian models for each enrolled speaker. During enrollment, features are extracted from one or more enrollment utterances from each enrolled speaker, to generate a target speaker model based on a sample covariance matrix. During a recognition phase, features are extracted from one or more test utterances to generate a test utterance model that is also based on the sample covariance matrix. A sphericity ratio is computed that compares the test utterance model to the target speaker model, as well as a background model. The sphericity ratio indicates how similar test utterance speech is to the speech used when the user was enrolled, as represented by the target speaker model, and how dissimilar the test utterance speech is from the background model.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.