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| Presentation | 2017-08-30 11:00 [Poster Presentation] Semi-blind speech separation and enhancement using recurrent neural network Masaya Wake, Yoshiaki Bando, Masato Mimura, Katsutoshi Itoyama, Kazuyoshi Yoshii, Tatsuya Kawahara (Kyoto Univ.)  SP2017-22 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | This paper describes a semi-blind speech enhancement method using a neural network. In a human-robot speech interaction, the robot inputs not only audio signals recorded by a microphone but also speech signals made by the robot itself, which can be used for semi-blind speech enhancement. We propose a neural network which consists of cascaded two modules: a semi-blind source separation module and a blind dereverberation module. The proposed recurrent neural network is trained in a manner of multi-task learning, i.e., teacher signals are used for both the output of the separation module and the dereverberation module. Experiments are conducted to show the effectiveness of the proposed network. |
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| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Semi-blind speech enhancement / Semi-blind source separation / Blind dereverberation / Recurrent neural network / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 117, no. 189, SP2017-22, pp. 13-18, Aug. 2017. | |
| Paper # | SP2017-22 | |
| Date of Issue | 2017-08-23 (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 | SP2017-22 |
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| Conference Information | |
| Committee | SP |
| Conference Date | 2017-08-30 - 2017-08-30 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Kyoto Univ. |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | SP |
| Conference Code | 2017-08-SP |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Semi-blind speech separation and enhancement using recurrent neural network |
| Sub Title (in English) | |
| Keyword(1) | Semi-blind speech enhancement |
| Keyword(2) | Semi-blind source separation |
| Keyword(3) | Blind dereverberation |
| Keyword(4) | Recurrent neural network |
| Keyword(5) | |
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| Keyword(8) | |
| 1st Author's Name | Masaya Wake |
| 1st Author's Affiliation | Kyoto University (Kyoto Univ.) |
| 2nd Author's Name | Yoshiaki Bando |
| 2nd Author's Affiliation | Kyoto University (Kyoto Univ.) |
| 3rd Author's Name | Masato Mimura |
| 3rd Author's Affiliation | Kyoto University (Kyoto Univ.) |
| 4th Author's Name | Katsutoshi Itoyama |
| 4th Author's Affiliation | Kyoto University (Kyoto Univ.) |
| 5th Author's Name | Kazuyoshi Yoshii |
| 5th Author's Affiliation | Kyoto University (Kyoto Univ.) |
| 6th Author's Name | Tatsuya Kawahara |
| 6th Author's Affiliation | Kyoto University (Kyoto Univ.) |
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| Speaker | Author-1 |
| Date Time | 2017-08-30 11:00:00 |
| Presentation Time | 90 minutes |
| Registration for | SP |
| Paper # | SP2017-22 |
| Volume (vol) | vol.117 |
| Number (no) | no.189 |
| Page | pp.13-18 |
| #Pages | 6 |
| Date of Issue | 2017-08-23 (SP) |
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