Article (Scientific journals)
Nonlinear long-term prediction of speech based on truncated Volterra series
Despotovic, Vladimir; Goertz, Norbert; Peric, Zoran
2012In IEEE Transactions on Audio, Speech and Language Processing, 20 (3), p. 1069-1073
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Keywords :
Linear predictive coding; long-term prediction; nonlinear filters; Volterra series
Abstract :
[en] 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.
Disciplines :
Computer science
Author, co-author :
Despotovic, Vladimir ;  University of Belgrade > Technical Faculty in Bor
Goertz, Norbert;  Technische Universität Wien = Vienna University of Technology - TU Vienna > Institute of Telecommunications
Peric, Zoran;  University of Nis > Faculty of Electronic Engineering
External co-authors :
yes
Language :
English
Title :
Nonlinear long-term prediction of speech based on truncated Volterra series
Publication date :
March 2012
Journal title :
IEEE Transactions on Audio, Speech and Language Processing
ISSN :
1063-6676
Publisher :
Institute of Electrical and Electronics Engineers, United States
Volume :
20
Issue :
3
Pages :
1069-1073
Peer reviewed :
Peer Reviewed verified by ORBi
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