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Paper Abstract and Keywords
Presentation 2019-03-15 13:30
[Poster Presentation] An Evaluation of Underdetermined Source Separation Based on Multichannel Variational Autoencoder
Shogo Seki (Nagoya Univ.), Hirokazu Kameoka (NTT), Li Li (Univ. Tsukuba), Tomoki Toda, Kazuya Takeda (Nagoya Univ.) EA2018-154 SIP2018-160 SP2018-116
Abstract (in Japanese) (See Japanese page) 
(in English) This paper deals with a multichannel audio source separation problem under underdetermined conditions. Multichannel Non-negative Matrix Factorization (MNMF) is one of powerful approaches, which adopts the NMF concept for source power spectrogram modeling. This concept is also employed in Independent Low-Rank Matrix Analysis (ILRMA), a special class of the MNMF framework formulated under determined conditions. These methods work reasonably for particular types of sound sources, however, one limitation is that they can fail to work for sources with spectrograms that do not comply with the NMF model. To address this limitation, an extension of ILRMA called the Multichannel Variational Autoencoder (MVAE) method was recently proposed, where a Conditional VAE (CVAE) is used instead of the NMF model for source power spectrogram modeling. This approach has shown to perform impressively in determined source separation tasks thanks to the representation power of DNNs. This paper generalizes MVAE originally formulated under determined mixing conditions so that it can also deal with underdetermined cases. The proposed method was evaluated on an underdetermined source separation task of separating out three sources from two microphone inputs. Experimental results revealed that the generalized MVAE method achieved better performance than the MNMF method.
Keyword (in Japanese) (See Japanese page) 
(in English) Underdetermined source separation / Multichannel variational autoencoder / Multichannel non-negative matrix factorization / / / / /  
Reference Info. IEICE Tech. Rep., vol. 118, no. 497, SP2018-116, pp. 323-328, March 2019.
Paper # SP2018-116 
Date of Issue 2019-03-07 (EA, SIP, SP) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380
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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 EA2018-154 SIP2018-160 SP2018-116

Conference Information
Committee EA SIP SP  
Conference Date 2019-03-14 - 2019-03-15 
Place (in Japanese) (See Japanese page) 
Place (in English) i+Land nagasaki (Nagasaki-shi) 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Engineering/Electro Acoustics, Signal Processing, Speech, and Related Topics 
Paper Information
Registration To SP 
Conference Code 2019-03-EA-SIP-SP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) An Evaluation of Underdetermined Source Separation Based on Multichannel Variational Autoencoder 
Sub Title (in English)  
Keyword(1) Underdetermined source separation  
Keyword(2) Multichannel variational autoencoder  
Keyword(3) Multichannel non-negative matrix factorization  
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1st Author's Name Shogo Seki  
1st Author's Affiliation Nagoya University (Nagoya Univ.)
2nd Author's Name Hirokazu Kameoka  
2nd Author's Affiliation Nippon Telegraph and Telephone Corporation (NTT)
3rd Author's Name Li Li  
3rd Author's Affiliation University of Tsukuba (Univ. Tsukuba)
4th Author's Name Tomoki Toda  
4th Author's Affiliation Nagoya University (Nagoya Univ.)
5th Author's Name Kazuya Takeda  
5th Author's Affiliation Nagoya University (Nagoya Univ.)
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Speaker Author-1 
Date Time 2019-03-15 13:30:00 
Presentation Time 90 minutes 
Registration for SP 
Paper # EA2018-154, SIP2018-160, SP2018-116 
Volume (vol) vol.118 
Number (no) no.495(EA), no.496(SIP), no.497(SP) 
Page pp.323-328 
#Pages
Date of Issue 2019-03-07 (EA, SIP, SP) 


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