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KMID : 0917520010080030143
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Journal of Speech Sciences
2001 Volume.8 No. 3 p.143 ~ p.148
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Vector Quantization by N-ary Search of a Codebook
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Abstract
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We propose a new scheme for VQ codebook search. The procedure is in between the binary-tree-search and full-search and thus might be called N-ary search of a codebook. Throuhg the experiment performed on 7200 frames spoken by 25 speakers, we confirmed that the best codewords as good as by the full-search were obtained at moderate time consumption comparable to the binary-tree-search. In application to speech recognition by HMM/VQ with Bakis model, where appearance of a specific codeword is essential in the parameter training phase, the method proposed here is expected to provide an efficient training procedure.
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