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| Paper Abstract and Keywords | ||
| Presentation | 2018-03-20 14:20 A Study on Structure of Deep Neural Network for Speech Enhancement Yosuke Sugiura, Tetsuya Shimamura (Saitama Univ.)  EA2017-171 SIP2017-180 SP2017-154 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | In this paper, we study a structure of a deep neural network for speech enhancement.In speech enhancement, it is a big issue to suppress the noise in the silent interval and maintain a spectral envelope in the voiced interval, simultaneously. Because of a large variability of the amplitude spectrum, which is one of the features, and the complexity of the regression problems, the network has an under-fitting and then the speech quality is degraded. This paper, thus, relaxes the complexity of the problem by constraining a solution space to optimize an spectral gain of speech enhancement. Additionally, this paper tries to improve the speech enhancement performance by designing a loss function appropriately according to the distribution of the speech spectrum. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Speech Enhancement / Deep Neural Network / / / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 117, no. 517, SP2017-154, pp. 379-384, March 2018. | |
| Paper # | SP2017-154 | |
| Date of Issue | 2018-03-12 (EA, SIP, SP) | |
| 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 | EA2017-171 SIP2017-180 SP2017-154 |
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| Conference Information | |
| Committee | SIP EA SP MI |
| Conference Date | 2018-03-19 - 2018-03-20 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Speech, Engineering/Electro Acoustics, Signal Processing, and Related Topics [SIP, EA, SP]/ Medical Image Engineering, Analysis, Recognition, etc. [MI] |
| Paper Information | |
| Registration To | SP |
| Conference Code | 2018-03-SIP-EA-SP-MI |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A Study on Structure of Deep Neural Network for Speech Enhancement |
| Sub Title (in English) | |
| Keyword(1) | Speech Enhancement |
| Keyword(2) | Deep Neural Network |
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| 1st Author's Name | Yosuke Sugiura |
| 1st Author's Affiliation | Saitama University (Saitama Univ.) |
| 2nd Author's Name | Tetsuya Shimamura |
| 2nd Author's Affiliation | Saitama University (Saitama Univ.) |
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| Speaker | Author-1 |
| Date Time | 2018-03-20 14:20:00 |
| Presentation Time | 25 minutes |
| Registration for | SP |
| Paper # | EA2017-171, SIP2017-180, SP2017-154 |
| Volume (vol) | vol.117 |
| Number (no) | no.515(EA), no.516(SIP), no.517(SP) |
| Page | pp.379-384 |
| #Pages | 6 |
| Date of Issue | 2018-03-12 (EA, SIP, SP) |
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