2017
DOI: 10.1587/transinf.2016edl8106
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Deep Nonlinear Metric Learning for Speaker Verification in the I-Vector Space

Abstract: SUMMARYSpeaker verification is the task of determining whether two utterances represent the same person. After representing the utterances in the i-vector space, the crucial problem is only how to compute the similarity of two i-vectors. Metric learning has provided a viable solution to this problem. Until now, many metric learning algorithms have been proposed, but they are usually limited to learning a linear transformation. In this paper, we propose a nonlinear metric learning method, which learns an explic… Show more

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Cited by 3 publications
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