MODEL ADAPTATION SYSTEM AND METHOD FOR SPEAKER VERIFICATION

摘要

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 recognition models including neural tree networks (22), Gaussian Mixture Models (26), and dynamic time warping (16) or to multiple models (30) (i.e. combinations of neural tree networks (22), Gaussian Mixture Models (26) and Dynamic time warping (30)). Moreover, the present invention can be applied to text-dependent or text-independent systems.