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| Presentation | 2016-03-29 13:15 Effective basis learning for sound source separation by semi-supervised nonnegative matrix factorization Daichi Kitamura (SOKENDAI), Nobutaka Ono (NII/SOKENDAI), Hiroshi Saruwatari (UT), Yu Takahashi, Kazunobu Kondo (Yamaha)  EA2015-130 SIP2015-179 SP2015-158 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | This paper addresses a sound source separation problem and proposes an effective basis learning method for semi-supervised nonnegative matrix factorization (NMF). A conventional semi-supervised NMF has a critical problem that pre-learned spectral bases for a target source have a risk to represent another undesired source degrading the separation performance. To solve this problem, in a training stage, we propose to employ other supervised bases that can be obtained by a maximization of the separation ability. The efficacy of the proposed method is experimentally confirmed with a music source separation task. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | nonnegative matrix factorization / sound source separation / semi-supervised / basis learning / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 115, no. 521, EA2015-130, pp. 355-360, March 2016. | |
| Paper # | EA2015-130 | |
| Date of Issue | 2016-03-21 (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 | EA2015-130 SIP2015-179 SP2015-158 |
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| Conference Information | |
| Committee | EA SP SIP |
| Conference Date | 2016-03-28 - 2016-03-29 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Beppu International Convention Center B-ConPlaza |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Engineering/Electro Acoustics, Speech, Signal Processing, and Related Topics |
| Paper Information | |
| Registration To | EA |
| Conference Code | 2016-03-EA-SP-SIP |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Effective basis learning for sound source separation by semi-supervised nonnegative matrix factorization |
| Sub Title (in English) | |
| Keyword(1) | nonnegative matrix factorization |
| Keyword(2) | sound source separation |
| Keyword(3) | semi-supervised |
| Keyword(4) | basis learning |
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| 1st Author's Name | Daichi Kitamura |
| 1st Author's Affiliation | SOKENDAI (The Graduate University for Advanced Studies) (SOKENDAI) |
| 2nd Author's Name | Nobutaka Ono |
| 2nd Author's Affiliation | National Institute of Informatics/SOKENDAI (The Graduate University for Advanced Studies) (NII/SOKENDAI) |
| 3rd Author's Name | Hiroshi Saruwatari |
| 3rd Author's Affiliation | The University of Tokyo (UT) |
| 4th Author's Name | Yu Takahashi |
| 4th Author's Affiliation | Yamaha Corporation (Yamaha) |
| 5th Author's Name | Kazunobu Kondo |
| 5th Author's Affiliation | Yamaha Corporation (Yamaha) |
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| Speaker | Author-2 |
| Date Time | 2016-03-29 13:15:00 |
| Presentation Time | 25 minutes |
| Registration for | EA |
| Paper # | EA2015-130, SIP2015-179, SP2015-158 |
| Volume (vol) | vol.115 |
| Number (no) | no.521(EA), no.522(SIP), no.523(SP) |
| Page | pp.355-360 |
| #Pages | 6 |
| Date of Issue | 2016-03-21 (EA, SIP, SP) |
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