DocumentCode :
290021
Title :
Single stage spectral quantization at 20 bits
Author :
Hedelin, Per
Author_Institution :
Dept. of Inf. Theory, Chalmers Univ. of Technol., Goteborg, Sweden
Volume :
i
fYear :
1994
fDate :
19-22 Apr 1994
Abstract :
Efficient coding of spectral parameters constitutes a major concern for speech compression. It is generally agreed that a single-stage vector quantizer, operating in the log-spectral domain would give superior performance, as compared to any other block coding procedure. Such a coder has, however, been considered impractical due to its complexity. The authors demonstrate that high quality encoding of speech spectra is feasible around 20 bits/spectrum with a single-stage approach. The experimental results are accurately predicted by a theoretical performance analysis. The author suggests a straightforward tree-based procedure that can be employed for the codebook search such that the computational complexity is acceptable
Keywords :
data compression; search problems; spectral analysis; speech coding; tree searching; vector quantisation; 20 bits; codebook search; computational complexity; log-spectral domain; performance analysis; single stage spectral quantization; single-stage vector quantizer; spectral parameters; speech compression; speech spectra; tree-based procedure; Block codes; Computational complexity; Encoding; Filters; Information theory; Modems; Performance analysis; Quantization; Speech coding; Stability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1994. ICASSP-94., 1994 IEEE International Conference on
Conference_Location :
Adelaide, SA
ISSN :
1520-6149
Print_ISBN :
0-7803-1775-0
Type :
conf
DOI :
10.1109/ICASSP.1994.389240
Filename :
389240
Link To Document :
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