PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Virtual Fusion for Speaker Recognition
Yosef Solewicz and Moshe Koppel
In: Interspeech 2007 - Eurospeech, 27-31 Aug 2007, Antwerp, Belgium.

Abstract

This paper presents a simplified post-classification framework for enhancing the performance of a given speaker recognition classifier by means of other “auxiliary” classifiers. We call it Virtual Fusion, since the assisting classifiers are used only for training the post-classifier and are not necessary in operating mode. Experiments performed using Nist’04 and ’05 evaluations suggest that the proposed technique is able to consistently improve the EER of a typical GMM-cepstrum classifier by up to 15%.

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EPrint Type:Conference or Workshop Item (Paper)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Speech
ID Code:3572
Deposited By:Yosef Solewicz
Deposited On:13 February 2008