DocumentCode
1342930
Title
Modeling of speech signals using an optimal neural network structure based on the PMDL principle
Author
Gao, Xiao Ming ; Ovaska, Seppo J. ; Lehtokangas, Mikko ; Saarinen, Jukka
Author_Institution
Inst. of Intelligent Power Electron., Helsinki Univ. of Technol., Espoo, Finland
Volume
6
Issue
2
fYear
1998
fDate
3/1/1998 12:00:00 AM
Firstpage
177
Lastpage
180
Abstract
Although neural networks have already found many successful applications in speech signal processing, it is difficult to compare their performance with that of the traditional methods objectively. We address this problem by using the predictive minimum description length (PMDL) principle to select the optimal network size in modeling speech signals
Keywords
feedforward neural nets; optimisation; prediction theory; speech processing; PMDL principle; feedforward neural network; optimal network size; optimal neural network structure; performance; predictive minimum description length; speech signal processing; speech signals modeling; Information theory; Network topology; Neural networks; Predictive models; Signal processing; Signal processing algorithms; Speech processing; Speech recognition; Testing; Time series analysis;
fLanguage
English
Journal_Title
Speech and Audio Processing, IEEE Transactions on
Publisher
ieee
ISSN
1063-6676
Type
jour
DOI
10.1109/89.661476
Filename
661476
Link To Document