Vector quantization and signal compression
Vector quantization and signal compression
Efficient vector quantization of LPC parameters at 24 bits/frame
ICASSP '91 Proceedings of the Acoustics, Speech, and Signal Processing, 1991. ICASSP-91., 1991 International Conference
Tree searched multi-stage vector quantization of LPC parameters for 4 kb/s speech coding
ICASSP'92 Proceedings of the 1992 IEEE international conference on Acoustics, speech and signal processing - Volume 1
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Combined source and channel coding is emerging as a major subject in data compression. The standard approach of tandeming a vector quantizer with an explicit channel coder is being replaced by a single coding step. In this study we propose to utilize a mapping of a binary block code to generate the reconstruction vectors of the vector quantizer. The aim is to secure channel robustness, at the same time allowing for efficient design, storage and handling of the vector quantizer. The general procedure is exemplified by the task of spectral coding for speech transmission. Using a LSP-representation for the spectrum, we demonstrate that short block codes are feasible, thus allowing for compact storage of the code-book. These short block codes combine low quantization noise in clear channel conditions with robustness to bit errors introduced by a noisy channel.