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Paper Abstract and Keywords
Presentation 2018-03-19 09:25
Stable Estimation Method of Spatial Correlation Matrices for Multi-channel NMF
Yuuki Tachioka (Denso IT Lab) EA2017-103 SIP2017-112 SP2017-86
Abstract (in Japanese) (See Japanese page) 
(in English) Multi-channel non-negative matrix factorization (MNMF) achieves a high sound source separation performance but its initial value dependency is a problem. To address this, some studies proposed that initial spatial correlation matrices are obtained from enhanced speech after binary masking or from rank 1 approximation. Rank 1 approximation is effective because the number of parameters to be estimated is relatively small. However, the experimental comparison between initialization from full-rank spatial correlation matrices and rank 1 approximated ones is necessary. In addition, in the case of rank 1 approximation, when the number of channels is much greater than that of sound sources, the update of spatial correlation matrices becomes unstable. To avoid this, this paper proposes an utterance division for averaging spatial correlation matrices of each division with rank 1 approximation. Experiments show that the proposed method improved the performance of MNMF and stabilized the update of spatial correlation matrices.
Keyword (in Japanese) (See Japanese page) 
(in English) multi-channel NMF / spatial correlation matrix / steering vector / automatic speech recognition / / / /  
Reference Info. IEICE Tech. Rep., vol. 117, no. 515, EA2017-103, pp. 7-12, March 2018.
Paper # EA2017-103 
Date of Issue 2018-03-12 (EA, SIP, SP) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
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 EA2017-103 SIP2017-112 SP2017-86

Conference Information
Committee SIP EA SP MI  
Conference Date 2018-03-19 - 2018-03-20 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English) Speech, Engineering/Electro Acoustics, Signal Processing, and Related Topics [SIP, EA, SP]/ Medical Image Engineering, Analysis, Recognition, etc. [MI] 
Paper Information
Registration To EA 
Conference Code 2018-03-SIP-EA-SP-MI 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Stable Estimation Method of Spatial Correlation Matrices for Multi-channel NMF 
Sub Title (in English)  
Keyword(1) multi-channel NMF  
Keyword(2) spatial correlation matrix  
Keyword(3) steering vector  
Keyword(4) automatic speech recognition  
1st Author's Name Yuuki Tachioka  
1st Author's Affiliation Denso IT Laboratory (Denso IT Lab)
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Speaker Author-1 
Date Time 2018-03-19 09:25:00 
Presentation Time 25 minutes 
Registration for EA 
Paper # EA2017-103, SIP2017-112, SP2017-86 
Volume (vol) vol.117 
Number (no) no.515(EA), no.516(SIP), no.517(SP) 
Page pp.7-12 
Date of Issue 2018-03-12 (EA, SIP, SP) 

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