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For efficient variable-rate speech coding, Karhunen-Loeve transform based adaptive entropy-constrained vector quantization (KLT-AECVQ) is proposed. The proposed method consists of backward-adaptive linear predictive coding (LPC) analysis, KLT estimation based on LPC coefficients, and lattice vector quantization followed by Huffman coding according to KLT statistics. As different statistics in an original-signal...
If the signal statistics are given, direct vector quantization (DVQ) according to these statistics provides the highest coding efficiency, but requires unmanageable storage requirements. In. code-excited linear predictive (CELP) coding. a single “compromise” codebook is trained in the prediction residual-domain and the space-filling and shape advantages of vector quantization (VQ) are utilized in...
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