DocumentCode :
3846739
Title :
A statistical pattern recognition approach to robust recursive identification of nonstationary AR model of speech production system
Author :
M.Z. Markovic;B.D. Kovacevic;M.M. Milosavljevic
Author_Institution :
Inst. of Appl. Math. & Electron., Belgrade, Serbia
Volume :
4
Issue :
6
fYear :
1996
Firstpage :
456
Lastpage :
460
Abstract :
We propose a new robust recursive procedure based on the weighted recursive least squares (WRLS) algorithm with variable forgetting factor (VFF) and frame-based quadratic classifier for identification of nonstationary AR model of speech. Two versions of the frame-based quadratic classifier design procedure are elaborated upon. Experimental results are obtained in analyzing speech signal on voiced and mixed excitation frames.
Keywords :
"Pattern recognition","Robustness","Linear predictive coding","Production systems","Speech enhancement","Signal analysis","Speech analysis","Speech coding","Least squares methods","Gaussian noise"
Journal_Title :
IEEE Transactions on Speech and Audio Processing
Publisher :
ieee
ISSN :
1063-6676
Type :
jour
DOI :
10.1109/89.544530
Filename :
544530
Link To Document :
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