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| Presentation | 2009-10-23 11:10 An Extraction of Emotion in Human Speech Using Multi Machine Learning Schemes Saori Amanuma, Masaki Kurematsu, Jun Hakura, Hamido Fujita (Iwate Prefectural Univ.)  PRMU2009-86 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | There are some researches about estimating emotion in speech. However, the predict rate is low. In order to improve the predict rate, we propose how to estimate emotion in speech using multi machine learning schemes. Our approach is based on the conventional approach in exists works. In the conventional approach, we collect speech data that a person speaks some phrases to express an emotion in first. Next, we make a classifier using a supervised machine-learning scheme. We use speech data as training data at this time. Although there are various expressions for one emotion, we operate same expression in the conventional approach. We think that this is one of the causes of low predict rate. In order to solve this cause, we subdivided speech data using an unsupervised machine learning scheme, like cluster analysis, before making a classifier. This is the unique point of our approach. After subdividing speech data, we make a classifier from speech data using a supervised machine-learning scheme, like a regression tree. We estimate emotion in speech using the classifier. Experimental results show that our approach is better than the conventional approach. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Estimation of Emotion in Speech / Sound Features / Machine Learning / / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 109, no. 249, PRMU2009-86, pp. 85-90, Oct. 2009. | |
| Paper # | PRMU2009-86 | |
| Date of Issue | 2009-10-15 (PRMU) | |
| 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 | PRMU2009-86 |
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| Conference Information | |
| Committee | PRMU |
| Conference Date | 2009-10-22 - 2009-10-23 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Hiroshima Univ. |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | PRMU |
| Conference Code | 2009-10-PRMU |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | An Extraction of Emotion in Human Speech Using Multi Machine Learning Schemes |
| Sub Title (in English) | |
| Keyword(1) | Estimation of Emotion in Speech |
| Keyword(2) | Sound Features |
| Keyword(3) | Machine Learning |
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| 1st Author's Name | Saori Amanuma |
| 1st Author's Affiliation | Iwate Prefectural University (Iwate Prefectural Univ.) |
| 2nd Author's Name | Masaki Kurematsu |
| 2nd Author's Affiliation | Iwate Prefectural University (Iwate Prefectural Univ.) |
| 3rd Author's Name | Jun Hakura |
| 3rd Author's Affiliation | Iwate Prefectural University (Iwate Prefectural Univ.) |
| 4th Author's Name | Hamido Fujita |
| 4th Author's Affiliation | Iwate Prefectural University (Iwate Prefectural Univ.) |
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| Speaker | Author-1 |
| Date Time | 2009-10-23 11:10:00 |
| Presentation Time | 30 minutes |
| Registration for | PRMU |
| Paper # | PRMU2009-86 |
| Volume (vol) | vol.109 |
| Number (no) | no.249 |
| Page | pp.85-90 |
| #Pages | 6 |
| Date of Issue | 2009-10-15 (PRMU) |
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