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| Presentation | 2015-11-12 14:00 Intelligibility prediction method for outdoor public address systems using classifiers Yosuke Kobayashi (NIT Miyakonojo), Kazuhiro Kondo (Yamagata Univ.)  EA2015-26 EMM2015-47 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | In this paper, we have proved a subjective evaluation and prediction of speech intelligibility using the outdoor public address system of 10 locations for which impulse responses were recorded in Sendai city after the Great East Japan Earthquake. First, the results of the subjective intelligibility evaluation by different test word lists with the same sound field conditions showed the root mean squared error (RMSE) to be very small, as little as 9.2% at maximum. Next, we generated the intelligibility prediction model trained with true/false results of 13 subjects using the support vector machine (SVM). We evaluated the predictive performance of the prediction model using the data that was not used in training, and the RMSE was 4.1%. This result was shown to be highly accurate, even less than the subject experiment result. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | outdoor public address system / speech intelligibility / intelligibility prediction / machine learning / SVM / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 115, no. 302, EA2015-26, pp. 13-18, Nov. 2015. | |
| Paper # | EA2015-26 | |
| Date of Issue | 2015-11-05 (EA, EMM) | |
| ISSN | Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 | |
| Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) | |
| Download PDF | EA2015-26 EMM2015-47 |
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| Conference Information | |
| Committee | EA EMM |
| Conference Date | 2015-11-12 - 2015-11-13 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Kumamoto Univ. |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Multimedia Fusion, Content Processing, Multimedia Retrieval, Digital Watermarking, and Related Topics |
| Paper Information | |
| Registration To | EA |
| Conference Code | 2015-11-EA-EMM |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Intelligibility prediction method for outdoor public address systems using classifiers |
| Sub Title (in English) | |
| Keyword(1) | outdoor public address system |
| Keyword(2) | speech intelligibility |
| Keyword(3) | intelligibility prediction |
| Keyword(4) | machine learning |
| Keyword(5) | SVM |
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| 1st Author's Name | Yosuke Kobayashi |
| 1st Author's Affiliation | National Institute of Technology, Miyakonojo College (NIT Miyakonojo) |
| 2nd Author's Name | Kazuhiro Kondo |
| 2nd Author's Affiliation | Yamagata University (Yamagata Univ.) |
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| Speaker | Author-1 |
| Date Time | 2015-11-12 14:00:00 |
| Presentation Time | 30 minutes |
| Registration for | EA |
| Paper # | EA2015-26, EMM2015-47 |
| Volume (vol) | vol.115 |
| Number (no) | no.302(EA), no.303(EMM) |
| Page | pp.13-18 |
| #Pages | 6 |
| Date of Issue | 2015-11-05 (EA, EMM) |
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