DocumentCode :
846189
Title :
Window optimization in linear prediction analysis
Author :
Chu, Wai C.
Author_Institution :
Mobile Media Lab., DoCoMo USA Labs., San Jose, CA, USA
Volume :
11
Issue :
6
fYear :
2003
Firstpage :
626
Lastpage :
635
Abstract :
The autocorrelation method of linear prediction (LP) analysis relies on a window for data extraction. We propose an approach to optimize the window which is based on gradient-descent. It is shown that the optimized window can enhance the performance of LP-based speech coding algorithms; in most instances, improvement in performance comes at no additional computational cost, since it merely requires a window replacement.
Keywords :
gradient methods; linear predictive coding; optimisation; speech coding; data extraction; gradient-descent; linear prediction analysis; speech coding algorithm; window optimization; Autocorrelation; Code standards; Computational efficiency; Data mining; Delay; Differential equations; Linear predictive coding; Speech analysis; Speech coding; Telecommunication standards;
fLanguage :
English
Journal_Title :
Speech and Audio Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1063-6676
Type :
jour
DOI :
10.1109/TSA.2003.818213
Filename :
1255450
Link To Document :
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