The Likelihood Ratio Decision Criterion for Nuisance Attribute Projection in GMM Speaker Verification. (30th July 2008)

• Record Type: Journal Article
• Authors: Vesnicer Vesnicer, Boštjan Boštjan; Mihelič Mihelič, France France
• Other Names: Jensen Jensen Søren Søren Academic Editor.
• Is Part Of: EURASIP journal on advances in signal processing. Volume 2008(2008)
• Publication Date: 2008-07-30
• Subjects: Signal processing -- Periodicals; Traitement du signal; Signal processing; Periodicals; 621.3822
• DOI: 10.1155/2008/786431
• Languages: English
• ISSNs: 1687-6172

Abstract

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.