Yun-Fan Chang

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In this paper, we study the use of two kinds of kernel-based dis-criminative models, namely support vector machine (SVM) and deep neural network (DNN), for speaker verification. We treat the verification task as a binary classification problem, in which a pair of two utterances, each represented by an i-vector, is assumed to belong to either the "(More)
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