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Author Buzo, A. ♦ Gray Jr., A. ♦ Gray, R. ♦ Markel, J.
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©1974
Language English
Subject Domain (in DDC) Natural sciences & mathematics ♦ Physics ♦ Electricity & electronics
Subject Keyword Speech coding ♦ Vector quantization ♦ Distortion measurement ♦ Reflection ♦ Linear predictive coding ♦ Speech processing ♦ Laboratories ♦ Narrowband ♦ Pervasive computing
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.
Description Author affiliation :: University of Mexico, Mexico City, Mexico
ISSN 00963518
Education Level UG and PG
Learning Resource Type Article
Publisher Date 1980-10-01
Publisher Place U.S.A.
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Volume Number 28
Issue Number 5
Size (in Bytes) 1.45 MB
Page Count 13
Starting Page 562
Ending Page 574

Source: IEEE Xplore Digital Library