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| Presentation | 2019-10-26 11:20 Emotional speech classification using stacking by DNN and RF Nayuta Tanaami, Minoru Hayashi (Meisei Univ.)  HCS2019-42 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Conventionally, support vector machine (SVM) has been used for emotional speech classification. Recently, however, research on classification using deep neural network (DNN) has also been conducted. In many cases, they performed only by one DNN, but it is known that accuracy improvement can be expected by performing ensemble learning using a plurality of classifiers in a classification problem. Therefore, in this study, stacking, one of ensemble learning, performed using DNN and random forest (RF) and compared with SVM and DNN. The result of this study indicate that stacking DNN and RF was 10.42% higher than SVM and 3.71% higher than DNN. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Emotional Speech / Deep neural network / Random Forest / / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 119, no. 252, HCS2019-42, pp. 11-15, Oct. 2019. | |
| Paper # | HCS2019-42 | |
| Date of Issue | 2019-10-19 (HCS) | |
| 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 | HCS2019-42 |
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| Conference Information | |
| Committee | HCS |
| Conference Date | 2019-10-26 - 2019-10-26 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Nihon Univ. |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | HCS |
| Conference Code | 2019-10-HCS |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Emotional speech classification using stacking by DNN and RF |
| Sub Title (in English) | |
| Keyword(1) | Emotional Speech |
| Keyword(2) | Deep neural network |
| Keyword(3) | Random Forest |
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| 1st Author's Name | Nayuta Tanaami |
| 1st Author's Affiliation | Meisei University (Meisei Univ.) |
| 2nd Author's Name | Minoru Hayashi |
| 2nd Author's Affiliation | Meisei University (Meisei Univ.) |
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| Speaker | Author-1 |
| Date Time | 2019-10-26 11:20:00 |
| Presentation Time | 20 minutes |
| Registration for | HCS |
| Paper # | HCS2019-42 |
| Volume (vol) | vol.119 |
| Number (no) | no.252 |
| Page | pp.11-15 |
| #Pages | 5 |
| Date of Issue | 2019-10-19 (HCS) |
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