Paper Abstract and Keywords |
Presentation |
2020-07-20 13:25
Multichannel NMF using cluster analysis and weighted average Tsuyoshi Yamamoto, Singo Uenohara, Kenichi Furuya (Oita Univ) EA2020-2 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Herein, we propose a sound source separation method using multi-channel non-negative matrix factorization (MNMF). MNMF uses an iterative update algorithm for decomposing observed signals into sound source components. However, the separation accuracy of MNMF considerably depends on the initial value of the iterative update algorithm. In the proposed method, cluster analysis and multidimensional scaling were conducted using the features of the matrix decomposed by multiple initial values. A plurality of separated signals was obtained using the initial values included in the largest cluster, which were weighted and averaged. The distance between the matrices obtained by the multidimensional scaling method was used as the weight. As a result of the experiment, we found that the separation signal obtained using the proposed method is less dependent on the initial value and that the separation accuracy is improved. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
sound source separation / MNMF / cluster analysis / weighted average / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 120, no. 118, EA2020-2, pp. 7-12, July 2020. |
Paper # |
EA2020-2 |
Date of Issue |
2020-07-13 (EA) |
ISSN |
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) |
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EA2020-2 |
Conference Information |
Committee |
EA ASJ-H |
Conference Date |
2020-07-20 - 2020-07-21 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Online |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Engineering/Electro Acoustics, Psychological and Physiological Acoustics, Musical Acoustics, Education in Acoustics, and Related Topics |
Paper Information |
Registration To |
EA |
Conference Code |
2020-07-EA-H |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Multichannel NMF using cluster analysis and weighted average |
Sub Title (in English) |
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sound source separation |
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MNMF |
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cluster analysis |
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weighted average |
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1st Author's Name |
Tsuyoshi Yamamoto |
1st Author's Affiliation |
Oita University (Oita Univ) |
2nd Author's Name |
Singo Uenohara |
2nd Author's Affiliation |
Oita University (Oita Univ) |
3rd Author's Name |
Kenichi Furuya |
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Oita University (Oita Univ) |
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Speaker |
Author-1 |
Date Time |
2020-07-20 13:25:00 |
Presentation Time |
25 minutes |
Registration for |
EA |
Paper # |
EA2020-2 |
Volume (vol) |
vol.120 |
Number (no) |
no.118 |
Page |
pp.7-12 |
#Pages |
6 |
Date of Issue |
2020-07-13 (EA) |
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