Paper Abstract and Keywords |
Presentation |
2013-05-16 10:55
Permutation-free clustering-based source separation based on time-varying mixture weights Nobutaka Ito, Shoko Araki, Tomohiro Nakatani (NTT) EA2013-2 SIP2013-2 SP2013-2 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
To avoid the permutation problem in clustering-based source separation, we introduce a mixture model with time-varying, frequency-independent weights. These weights model common amplitude modulation of the source signals across frequency bins. To prevent these weights from degrading the resulting source separation performance, we assume a Dirichlet prior for these weights to control their variability by adjusting a hyperparameter. Since the objective function (the a posteriori probability) tends to attain suboptimal local maxima at permuted
versions of the optimum parameter, we introduce a new optimization method that avoids such local maxima. Experiments (1) confirm that our clustering method enables source separation without the permutation problem and (2) compare the separation performance of this method with that of a recently developed method. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Permutation problem / blind source separation / clustering / mixture model / Dirichlet prior / / / |
Reference Info. |
IEICE Tech. Rep., vol. 113, no. 27, EA2013-2, pp. 7-12, May 2013. |
Paper # |
EA2013-2 |
Date of Issue |
2013-05-09 (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) |
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EA2013-2 SIP2013-2 SP2013-2 |
Conference Information |
Committee |
SP EA SIP |
Conference Date |
2013-05-16 - 2013-05-17 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
|
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Speech and Acoustic Signal Processing, Speech, and Related Topics |
Paper Information |
Registration To |
EA |
Conference Code |
2013-05-SP-EA-SIP |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Permutation-free clustering-based source separation based on time-varying mixture weights |
Sub Title (in English) |
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Keyword(1) |
Permutation problem |
Keyword(2) |
blind source separation |
Keyword(3) |
clustering |
Keyword(4) |
mixture model |
Keyword(5) |
Dirichlet prior |
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1st Author's Name |
Nobutaka Ito |
1st Author's Affiliation |
Nippon Telegraph and Telephone Corporation (NTT) |
2nd Author's Name |
Shoko Araki |
2nd Author's Affiliation |
Nippon Telegraph and Telephone Corporation (NTT) |
3rd Author's Name |
Tomohiro Nakatani |
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Nippon Telegraph and Telephone Corporation (NTT) |
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Speaker |
Author-1 |
Date Time |
2013-05-16 10:55:00 |
Presentation Time |
25 minutes |
Registration for |
EA |
Paper # |
EA2013-2, SIP2013-2, SP2013-2 |
Volume (vol) |
vol.113 |
Number (no) |
no.27(EA), no.28(SIP), no.29(SP) |
Page |
pp.7-12 |
#Pages |
6 |
Date of Issue |
2013-05-09 (EA, SIP, SP) |
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