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The distortion performance of the vector quantization approach for LPC voice coding is examined both analytically and experimentally. Analytically, interpretations of the interparameter coupling effects of a distortion measure and the clustering nature of the algorithm for LPC vector quantization are obtained to show its relationship with the residual minimization process in LPC analysis. Experimentally, a large database of speech is used to compare its performance and properties to scalar quantization. The results lend further insight into the superior performance of vector quantization.
Juang et al. (Thu,) studied this question.