Presentation | 1993/12/14 Learning of Speech Waveforms Using Recurrent Neural Networks Shozo Sato, Hiroaki Kuno, Kazutoshi Gouhara, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | We show experimentally that RNN(Recurrent Neural Networks)can learn complex speech waveforms with a few thousand steps of length using the proposed reaning method.After sufficient reaning, attractors corresponding to desired transformation of input-output patterns were formed in the state space.Increasing the number of reaning patterns,desired responses are obtained for unleaning patterns.We propose a new method of speech recognition by reaning speech waveforms. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Recurrent Neural Networks / Supervised Learning / Attractor / Speech Waveform / Speech Recognition |
Paper # | NC93-56 |
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Committee | NC |
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Conference Date | 1993/12/14(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Neurocomputing (NC) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Learning of Speech Waveforms Using Recurrent Neural Networks |
Sub Title (in English) | |
Keyword(1) | Recurrent Neural Networks |
Keyword(2) | Supervised Learning |
Keyword(3) | Attractor |
Keyword(4) | Speech Waveform |
Keyword(5) | Speech Recognition |
1st Author's Name | Shozo Sato |
1st Author's Affiliation | Department of Electrical Engineering,School of Engineering,Chubu University() |
2nd Author's Name | Hiroaki Kuno |
2nd Author's Affiliation | Department of Electrical Engineering,School of Engineering,Chubu University |
3rd Author's Name | Kazutoshi Gouhara |
3rd Author's Affiliation | Department of Electrical Engineering,School of Engineering,Chubu University |
Date | 1993/12/14 |
Paper # | NC93-56 |
Volume (vol) | vol.93 |
Number (no) | 376 |
Page | pp.pp.- |
#Pages | 8 |
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