Introduction to statistical pattern recognition (2nd ed.)
Introduction to statistical pattern recognition (2nd ed.)
Face recognition using kernel scatter-difference-based discriminant analysis
IEEE Transactions on Neural Networks
A comparison of session variability compensation approaches for speaker verification
IEEE Transactions on Information Forensics and Security
I-vector based speaker recognition using advanced channel compensation techniques
Computer Speech and Language
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This paper presents Scatter Difference Nuisance Attribute Projection (SD-NAP) as an enhancement to NAP for SVM-based speaker verification. While standard NAP may inadvertently remove desirable speaker variability, SD-NAP explicitly de-emphasises this variability by incorporating a weighted version of the between-class scatter into the NAP optimisation criterion. Experimental evaluation of SD-NAP with a variety of SVM systems on the 2006 and 2008 NIST SRE corpora demonstrate that SD-NAP provides improved verification performance over standard NAP in most cases, particularly at the EER operating point.