Convergence between SVM-based and distance-based paradigms for speaker recognition

Abstract

This paper investigates the convergence between SVMbased and distance-based classifiers in speaker recognition. It focuses on approaches in speaker recognition where a speech utterance is represented with a fixed dimension vector. We study various preprocessings to apply on the vectors before classification, and various choices of negative samples to train… (More)

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