Linear neural networks for spectral envelope estimation

Emoto, Takahiro, Abeyratne, Udantha R., Akutagawa, Masatake, Konaka, Shinsuke and Kinouchi, Yohsuke (2010) Linear neural networks for spectral envelope estimation. I E I C E Electronics Express, 7 10: 691-696. doi:10.1587/elex.7.691

Author Emoto, Takahiro
Abeyratne, Udantha R.
Akutagawa, Masatake
Konaka, Shinsuke
Kinouchi, Yohsuke
Title Linear neural networks for spectral envelope estimation
Journal name I E I C E Electronics Express
ISSN 1349-2543
Publication date 2010-05
Sub-type Article (original research)
DOI 10.1587/elex.7.691
Volume 7
Issue 10
Start page 691
End page 696
Total pages 6
Editor Kohroh Kobayashi
Place of publication Tokyo, Japan
Publisher Denshi Jouhou Tsuushin Gakkai
Collection year 2011
Language eng
Subject 0806 Information Systems
0906 Electrical and Electronic Engineering
Formatted abstract
The spectral envelope is mainly determined by the shape of vocal tract and it is generally represented by linear estimation methods such as an autoregressive (AR) modeling. Neural network (NN) is general tools for modeling nonlinear function. Nonlinear aspects of NN have been emphasized. However, in this study, a novel approach to spectral estimation, which is based on the use of a linear feed-forward NN is discussed. Example of the linear network for estimating the spectral envelope of vowel sound is presented. The proposed linear NN technique leads to interesting new paradigms which could not have been considered in advance.
© IEICE 2010.
Keyword Linear neural network
Spectral envelope
Vowel sound
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: Official 2011 Collection
School of Information Technology and Electrical Engineering Publications
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Citation counts: TR Web of Science Citation Count  Cited 1 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 1 times in Scopus Article | Citations
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Created: Sun, 18 Jul 2010, 00:06:28 EST