DocumentCode
1334948
Title
Nonlinear Long-Term Prediction of Speech Based on Truncated Volterra Series
Author
Despotovic, Vladimir ; Goertz, Norbert ; Peric, Zoran
Author_Institution
Tech. Fac. of Bor, Univ. of Belgrade, Bor, Serbia
Volume
20
Issue
3
fYear
2012
fDate
3/1/2012 12:00:00 AM
Firstpage
1069
Lastpage
1073
Abstract
Previous studies of nonlinear prediction of speech have been mostly focused on short-term prediction. This paper presents long-term nonlinear prediction based on second-order Volterra filters. It will be shown that the presented predictor can outperform conventional linear prediction techniques in terms of prediction gain and “whiter” residuals.
Keywords
Volterra series; nonlinear filters; speech processing; conventional linear prediction technique; nonlinear long-term prediction; prediction gain residual; second-order Volterra filter; short-term prediction; truncated Volterra series based speech; whiter residual; Computational modeling; Correlation; Kernel; Maximum likelihood detection; Nonlinear filters; Predictive models; Speech; Linear predictive coding; long-term prediction; nonlinear filters; volterra series;
fLanguage
English
Journal_Title
Audio, Speech, and Language Processing, IEEE Transactions on
Publisher
ieee
ISSN
1558-7916
Type
jour
DOI
10.1109/TASL.2011.2169788
Filename
6029970
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