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KMID : 0917520000070020235
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Journal of Speech Sciences
2000 Volume.7 No. 2 p.235 ~ p.244
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Performance comparison of Text-Independent Speaker Recorgnizer Using VQ and GMM
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Abstract
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This paper was focused on realizing the text-independent speaker recognizer using the VQ and GMM algorithm nd studying the characteristics of the speaker recognizers that adpt thes two algorithms. Because it was difficult ascertain the effect two algorithms have on the speaker recognizer theoretically, we performed the recognition experiments using various paraments and, as the result of the experiments, we could show that GMM algorithm had better recognition performance than VQ algorithm as following. The GMM showed better performance with small training data, and it also showed just a little difference of recognition rate as the kind of feature vectors and the length of input data vary. The GMM showed good recognition performance than the VQ on the whole.
Keywords : VQ, GMM LPC, MFCC
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