Model adaptation of neural tree networks and other fused models for speaker verification
US6519561B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 3, 1998 |
| Grant date | Feb 11, 2003 |
| Priority date | — |
| Expiry date | Nov 3, 2018 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10L17/18
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The model adaptation system of the present invention is a speaker verification system that embodies the capability to adapt models learned during the enrollment component to track aging of a user's voice. The system has the advantage of only requiring a single enrollment for the user. The model adaptation system and methods can be applied to several types of speaker recognition models including neural tree networks (NTN), Gaussian Mixture Models (GMMs), and dynamic time warping (DTW) or to multiple models (i.e., combinations of NTNs, GMMs and DTW). Moreover, the present invention can be applied to text-dependent or text-independent systems.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.