Open Access Research Article

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

Boštjan Vesnicer* and France Mihelič

Author Affiliations

Faculty of Electrical Engineering, University of Ljubljana, Trzaska 25, 1000 Ljubljana, Slovenia

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EURASIP Journal on Advances in Signal Processing 2008, 2008:786431  doi:10.1155/2008/786431


The electronic version of this article is the complete one and can be found online at: http://asp.eurasipjournals.com/content/2008/1/786431


Received: 19 November 2007
Revisions received: 26 March 2008
Accepted: 25 June 2008
Published: 9 July 2008

© 2008 The Author(s).

This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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.

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