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In recent years, Support Vector Machine is used in many application areas and has shown dramatic achievement. In this paper, we apply it to a text-independent speaker verification task using the NIST 2001 Speaker Recognition database. Starting from a baseline based on Gaussian mixture models, we use the state-of-the-art GMM supervector and SVM to improve the performance. We alter several kernels and...
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