Presentation | 2001/6/22 Classification of Emotional Speech by Using Neural Networks Hideaki Sato, Norio Akamatsu, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | It is necessary to approach the analytic processing of kansei information in order to achieve a new Human Interface that digital computers can deal with the kansei information. In this paper, we propose a new classification method of emotional speech by analyzing characteristic parameters obtained from emotional speech and by learning those by neural networks, which is a kansei information processing. In this research, the emotion is classified broadly into four patterns such as neutral, anger, sad and joy. The pitch as characteristic parameters isextracted from each emotional speech by the cepstrum method. In addition, input values of neural networks(NN) are emotional pitch patterns, which are time-varying. NN can achieve classification of emotion by learning each emotional pitch pattern. Finally, in order to demonstrate the effectiveness of the proposed scheme, computer simulations were performed. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | kansei information / emotional speech / pitch / cepstrum method |
Paper # | NC2001-34 |
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Committee | NC |
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Conference Date | 2001/6/22(1days) |
Place (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) | Classification of Emotional Speech by Using Neural Networks |
Sub Title (in English) | |
Keyword(1) | kansei information |
Keyword(2) | emotional speech |
Keyword(3) | pitch |
Keyword(4) | cepstrum method |
1st Author's Name | Hideaki Sato |
1st Author's Affiliation | Faculty of Engineering, University of Tokushima() |
2nd Author's Name | Norio Akamatsu |
2nd Author's Affiliation | Faculty of Engineering, University of Tokushima |
Date | 2001/6/22 |
Paper # | NC2001-34 |
Volume (vol) | vol.101 |
Number (no) | 154 |
Page | pp.pp.- |
#Pages | 6 |
Date of Issue |