DocumentCode :
1094398
Title :
Speech coding based upon vector quantization
Author :
Buzo, Andrés ; Gray, Augustine H., Jr. ; Gray, Robert M. ; Markel, John D.
Author_Institution :
University of Mexico, Mexico City, Mexico
Volume :
28
Issue :
5
fYear :
1980
fDate :
10/1/1980 12:00:00 AM
Firstpage :
562
Lastpage :
574
Abstract :
With rare exception, all presently available narrow-band speech coding systems implement scalar quantization (independent quantization) of the transmission parameters (such as reflection coefficients or transformed reflection coefficients in LPC systems). This paper presents a new approach called vector quantization. For very low data rates, realistic experiments have shown that vector quantization can achieve a given level of average distortion with 15 to 20 fewer bits/frame than that required for the optimized scalar quantizing approaches presently in use. The vector quantizing approach is shown to be a mathematically and computationally tractable method which builds upon knowledge obtained in linear prediction analysis studies. This paper introduces the theory in a nonrigorous form, along with practical results to date and an extensive list of research topics for this new area of speech coding.
Keywords :
Distortion measurement; Helium; Laboratories; Linear predictive coding; Narrowband; Pervasive computing; Reflection; Speech coding; Speech processing; Vector quantization;
fLanguage :
English
Journal_Title :
Acoustics, Speech and Signal Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
0096-3518
Type :
jour
DOI :
10.1109/TASSP.1980.1163445
Filename :
1163445
Link To Document :
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