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Discriminative Classifiers for Speaker Recognition

Engineering & Technology

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Description

Due to the growing need for security applications,speaker recognition as the biometric task ofauthenticating a claimant by voice has currentlybecome a focus of interest.In this book we present new approaches to integratediscriminative classifiers like Support VectorMachines (SVMs) and Sparse Kernel Logistic Regression(SKLR) into speaker recognition systems that aretraditionally based on generative classifiers likeGaussian Mixture Models (GMMs).In a first approach for limited training data thediscriminative classifiers are applied directly onfeature vectors from parameterized speech frames andit is shown that both, SVM as well as SKLR outperformtraditional methods.In the second approach a state-of-the-art speakerrecognition system for large amount of training datais designed that combines Gaussian Mixture Modelswith discriminative classifiers.Furthermore, we investigate different featureextraction methods for speaker recognition on largeamount of training data and it is shown that theapplication of fusion schemes that combine thesesubsystems yield a significant improvement of therecognition performance in comparison to theapplication of single subsystems.

Product Specifications

Format: paperback
ASIN: 383810191X
Category: Books > Subjects > Science, Nature & Maths > Engineering & Technology
Domain: Amazon UK
Release Date: 20 January 2009
Listed Since: 20 March 2010

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Discriminative Classifiers for Speaker Recognition

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