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Multicodebook split vector quantization of LSF parameters

delete2002-12-01
delete6
PRE
AI
W
Woo-Jin Han *
E
Eun-Kyoung Kim
Y
Yung‐Hwan Oh
DOI:10.1109/LSP.2002.806057delete
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摘要

摘要

En 中文
A multicodebook quantization method for improving the performance of the split vector quantization (SVQ) is described. In the proposed method, multiple codebooks having different sizes are trained, and the minimal-size codebook and its codeword satisfying the condition based on the spectral distortion are determined. Several clustering techniques for reducing total bit rate and the analysis of the computational complexity are also presented. Experimental results have shown that the proposed method reduces the number of outliers significantly and achieves a better rate-distortion performance compared with the fixed-bit-rate SVQ, multistage VQ, and variable-bit-rate SVQ.
Keyword:
line spectral frequency
multicodebook quantization
split vector quantization
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期刊

IEEE Signal Processing Magazine 封面图
IEEE Signal Processing Magazine
IF:
9.6
论文数:
1.1W
被引数:
1.7W

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