EURASIP Journal on Advances in Signal Processing 
Volume 2008 (2008), Article ID 786431, 11 pages
doi:10.1155/2008/786431
Research Article

The Likelihood Ratio Decision Criterion for Nuisance Attribute Projection in GMM Speaker Verification

Boštjan Vesnicer and France Mihelič

 Faculty of Electrical Engineering, University of Ljubljana, Trzaska 25, 1000 Ljubljana, Slovenia
Received 19 November 2007; Revised 26 March 2008; Accepted 25 June 2008

Recommended by Søren Jensen

Abstract

We propose a way of integrating likelihood ratio (LR) decision criterion with nuisance attribute projection (NAP) for Gaussian mixture model- (GMM-) based speaker verification. The experiments on the core test of the NIST speaker recognition evaluation (SRE) 2005 data show that the performance of the proposed approach is comparable to that of the standard approach of NAP which uses support vector machines (SVMs) as a decision criterion. Furthermore, we demonstrate that the two criteria provide complementary information that can significantly improve the verification performance if a score-level fusion of both approaches is carried out.