Presentation | 1995/5/19 Learning of Time Variant Patterns of LSP parameters using Neural Networks for Speech Synthesis Tadaaki Shimizu, Yoshihiko Shindo, Naoki Isu, Kazuhiro Sugata, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In the conventional rule-based speech synthesis methods, synthesized speech is composed from CVC or VCV syllabic concatenation units. These methods require a large number of concatenation units. We proposed a speech synthesis method based on concatenation of phone segments using neural networks. Here, neural network memorizes the time patterns in the form of data compression. This paper presents a simplified experiment with synthesizing speech that is made from vowels. In this case, the neural network generate time variant patterns of LSP parameters of glide in speech. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | speech synthesis by rule / LSP parameter / Neural Network / glide |
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Committee | NLP |
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Conference Date | 1995/5/19(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Nonlinear Problems (NLP) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Learning of Time Variant Patterns of LSP parameters using Neural Networks for Speech Synthesis |
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Keyword(1) | speech synthesis by rule |
Keyword(2) | LSP parameter |
Keyword(3) | Neural Network |
Keyword(4) | glide |
1st Author's Name | Tadaaki Shimizu |
1st Author's Affiliation | Department of Information and Knowledge Engineering, Tottori University() |
2nd Author's Name | Yoshihiko Shindo |
2nd Author's Affiliation | Department of Information and Knowledge Engineering, Tottori University |
3rd Author's Name | Naoki Isu |
3rd Author's Affiliation | Department of Information and Knowledge Engineering, Tottori University |
4th Author's Name | Kazuhiro Sugata |
4th Author's Affiliation | Department of Information and Knowledge Engineering, Tottori University |
Date | 1995/5/19 |
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Volume (vol) | vol.95 |
Number (no) | 47 |
Page | pp.pp.- |
#Pages | 8 |
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