PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Considering Speech Quality in Speaker Verification Fusion
Yosef Solewicz and Moshe Koppel
In: Interspeech'2005 - Eurospeech - 9th European Conference on Speech, 4-8 Sep 2005, Lisbon, Portugal.

Abstract

This paper emphasizes the benefits of embedding data categorization within fusion of classifiers for text-independent speaker verification. A selective fusion framework is presented which considers data idiosyncrasies by assigning particular test samples to appropriate fusion schemes. As an extension, incompatible data can be spotted and excluded from inherent classification errors. In addition, it’s shown that multi-resolution low-level classifiers successfully boost fusion capabilities in noise.

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EPrint Type:Conference or Workshop Item (Paper)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Speech
ID Code:1495
Deposited By:Yosef Solewicz
Deposited On:28 November 2005