Publication Abstract

Sturim, D.E., Reynolds, D. A., Dunn, R. B., and Quatieri, T. F., Speaker Verification Using Text-Constrained Gaussian Mixture Models. In Proc. International Conference on Acoustics, Speech, and Signal Processing in Orlando, Florida, IEEE, pp. I: 677-680, 13-17 May 2002.

Abstract

In this paper we present an approach to close the gap between text-dependent and text-independent speaker verification performance. Text-constrained GMM-UBM systems are created using word segmentations produced by an LVCSR system on conversational speech, allowing the system to focus on speaker differences over a constrained set of acoustic units. Results on the 2001 NIST extended data task show this approach can be used to produce an equal error rate of <1%.