DocumentCode :
1178789
Title :
Short-term temporal decomposition and its properties for speech compression
Author :
Cheng, Yan Ming ; O´Shaughnessy, Douglas
Author_Institution :
INRS-Telecommun., Quebec Univ., Verdun, Que., Canada
Volume :
39
Issue :
6
fYear :
1991
fDate :
6/1/1991 12:00:00 AM
Firstpage :
1282
Lastpage :
1290
Abstract :
A technique of temporal speech compression, called temporal decomposition, is considered. A mathematical presentation of temporal decomposition is discussed from the point of view of speech production. Temporal decomposition is studied in terms of an iterative solution and its convergence. For vocoder applications, a practical algorithm, short-term temporal decomposition, is proposed. The statistical performance of this algorithm was tested on a multispeaker database. The efficiencies of vector quantization and vector predictability were comparatively studied on data derived from the algorithm and on data from linear predictive coding (LPC) analysis. The results show that data from the algorithm have more efficient information transmission via vector quantization than data from LPC, and that vector prediction coding is feasible for the data from temporal decomposition
Keywords :
bandwidth compression; encoding; iterative methods; speech analysis and processing; speech synthesis; vocoders; algorithm; convergence; iterative solution; linear predictive coding; multispeaker database; short-term temporal decomposition; speech compression; speech production; statistical performance; vector predictability; vector prediction coding; vector quantization; vocoder; Distortion measurement; Interpolation; Iterative algorithms; Linear predictive coding; Matrix decomposition; Speech analysis; Speech coding; Testing; Vector quantization; Vocoders;
fLanguage :
English
Journal_Title :
Signal Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1053-587X
Type :
jour
DOI :
10.1109/78.136534
Filename :
136534
Link To Document :
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