Rate-distortion speech coding with a minimum discrimination information distortion measure

An information theory approach to the theory and practice of linear predictive coded (LPC) speech compression systems is developed. It is shown that a traditional LPC system can be viewed as a minimum distortion or nearest-neighbor system where the distortion measure is a minimum discrimination info...

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Bibliographic Details
Published inIEEE transactions on information theory Vol. 27; no. 6; pp. 708 - 721
Main Authors Gray, R., Gray, A., Rebolledo, G., Shore, J.
Format Journal Article
LanguageEnglish
Published IEEE 01.11.1981
Subjects
Analytical models
Band-pass filters
Distortion
Distortion measurement
Filtering algorithms
Filtering theory
Mathematical models
Rate-distortion
Speech coding
Vectors
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Summary:An information theory approach to the theory and practice of linear predictive coded (LPC) speech compression systems is developed. It is shown that a traditional LPC system can be viewed as a minimum distortion or nearest-neighbor system where the distortion measure is a minimum discrimination information between a speech process model and an observed frame of actual speech. This distortion measure is used in an algorithm for computer-aided design of block source codes subject to a fidelity criterion to obtain a 750-bits/s speech compression system that resembles an LPC system but has a much lower rate, a larger memory requirement, and requires no on-line LPC analysis. Quantitative and informal subjective comparisons are made among our system and LPC systems.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
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ISSN:0018-9448
1557-9654
DOI:10.1109/TIT.1981.1056410