Title :
Window optimization in linear prediction analysis
Author_Institution :
Mobile Media Lab., DoCoMo USA Labs., San Jose, CA, USA
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;
Journal_Title :
Speech and Audio Processing, IEEE Transactions on
DOI :
10.1109/TSA.2003.818213
