Reference : Nonlinear long-term prediction of speech based on truncated Volterra series
Scientific journals : Article
Engineering, computing & technology : Computer science
http://hdl.handle.net/10993/40931
Nonlinear long-term prediction of speech based on truncated Volterra series
English
Despotovic, Vladimir mailto [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]
Mar-2012
IEEE Transactions on Audio, Speech and Language Processing
Institute of Electrical and Electronics Engineers
20
3
1069-1073
Yes
International
1063-6676
United States
[en] Linear predictive coding ; long-term prediction ; nonlinear filters ; Volterra series
[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.
http://hdl.handle.net/10993/40931
10.1109/TASL.2011.2169788
https://ieeexplore.ieee.org/document/6029970?arnumber=6029970

File(s) associated to this reference

Fulltext file(s):

FileCommentaryVersionSizeAccess
Limited access
double_print.pdfAuthor postprint458.04 kBRequest a copy

Bookmark and Share SFX Query

All documents in ORBilu are protected by a user license.