Linear neural networks for spectral envelope estimation
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- Emoto Takahiro
- Institute of Technology and Science, The University of Tokushima
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- Abeyratne Udantha R.
- School of Info. Tech. and Electrical Engineering, The University of Queensland
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- Akutagawa Masatake
- Institute of Technology and Science, The University of Tokushima
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- Konaka Shinsuke
- Institute of Technology and Science, The University of Tokushima
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- Kinouchi Yohsuke
- Institute of Technology and Science, The University of Tokushima
Description
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.
Journal
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- IEICE Electronics Express
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IEICE Electronics Express 7 (10), 691-696, 2010
The Institute of Electronics, Information and Communication Engineers
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Details 詳細情報について
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- CRID
- 1390001205214772608
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- NII Article ID
- 130000254761
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- ISSN
- 13492543
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- Text Lang
- en
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- Data Source
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- JaLC
- Crossref
- CiNii Articles
- OpenAIRE
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- Abstract License Flag
- Disallowed