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Wavelet Feature Selection Using Fuzzy Approach to Text Independent Speaker Recognition
<span title="2005-03-01">2005</span>
<i title="Institute of Electronics, Information and Communications Engineers (IEICE)">
<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/x2mklbxoqjfvjdjrdybgo53sdm" style="color: black;">IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences</a>
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Shung-Yung LUNG †a) , Nonmember SUMMARY A wavelet feature selection derived by using fuzzy evaluation index for speaker identification is described. The concept of a flexible membership function incorporating weighed distance is introduced in the evaluation index to make the modeling of clusters more appropriate. Our results have shown that this feature selection introduced better performance than the wavelet features with respect to the percentages of recognition. key words: speaker recognition, wavelet transform, fuzzy
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