Presentation | 1996/5/31 On Prediction and Evaluation of Optimum Speech Volume under Noisy Environment Hiroshi Syakui, Yuichi Noro, Kazuhiro Kuno, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | This report shows the results of supplementary and preliminary investigations which aim at adjusting automatically the speech volume on public address system in response to the change of environmental noise level. First, change of the most comfortable volume for listening to speech, described as optimum speech volume, by difference of speaker is examined by means of listening test. Second, several models which predict the optimum speech volume from non-weighted octave spectrum of noise using neural network are composed and compared with previous models using A-weighted octave spectrum. The predicted optimum speech volume is subjectively evaluated by means of listening test. Finally, we make trial of some simple volume control patterns for intermittent noise. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Public Address System / Neural Network / Subjective Evaluation Prediction / Speech Volume |
Paper # | EA96-15 |
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Committee | EA |
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Conference Date | 1996/5/31(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Registration To | Engineering Acoustics (EA) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | On Prediction and Evaluation of Optimum Speech Volume under Noisy Environment |
Sub Title (in English) | |
Keyword(1) | Public Address System |
Keyword(2) | Neural Network |
Keyword(3) | Subjective Evaluation Prediction |
Keyword(4) | Speech Volume |
1st Author's Name | Hiroshi Syakui |
1st Author's Affiliation | Faculty of Engineering, Mie University() |
2nd Author's Name | Yuichi Noro |
2nd Author's Affiliation | Faculty of Engineering, Mie University |
3rd Author's Name | Kazuhiro Kuno |
3rd Author's Affiliation | Faculty of Engineering, Mie University |
Date | 1996/5/31 |
Paper # | EA96-15 |
Volume (vol) | vol.96 |
Number (no) | 85 |
Page | pp.pp.- |
#Pages | 7 |
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