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Paper Abstract and Keywords
Presentation 2012-12-21 14:40
Reduction of cross spectrum for feature-domain sound source separation
Atsushi Ando (Nagoya Univ.), Kenta Niwa (NTT), Norihide Kitaoka, Kazuya Takeda (Nagoya Univ.) SP2012-93
Abstract (in Japanese) (See Japanese page) 
(in English) Speech source separation is utilized for recognition of simultaneous speech. Conventional source separation methods, especially blind source separation, have a huge computational cost because they require iterative learning steps to estimate separation filters. We therefore try to separate sounds in the feature domain, and the features are then used as inputs for speech recognition, in order to reduce the number of estimated separation filters. For this purpose, linearity between sources and recorded signals is needed in the domain. In this paper, we propose a cross spectrum reduction method between sources to approximate linearity. We prove that taking the average of the power spectra over multiple microphones can reduce the cross spectrum. Experimental results showed that the proposed method could reduce the cross spectrum, and that cepstrum distortions of separated signals were also improved.
Keyword (in Japanese) (See Japanese page) 
(in English) source separation / speech recognition / filterbank outputs / cross spectrum / / / /  
Reference Info. IEICE Tech. Rep., vol. 112, no. 369, SP2012-93, pp. 107-112, Dec. 2012.
Paper # SP2012-93 
Date of Issue 2012-12-13 (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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Conference Information
Committee SP IPSJ-SLP  
Conference Date 2012-12-20 - 2012-12-21 
Place (in Japanese) (See Japanese page) 
Place (in English) TITECH(Ookayama) 
Topics (in Japanese) (See Japanese page) 
Topics (in English) 14th Symposium on Spoken Language 
Paper Information
Registration To SP 
Conference Code 2012-12-SP-SLP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Reduction of cross spectrum for feature-domain sound source separation 
Sub Title (in English)  
Keyword(1) source separation  
Keyword(2) speech recognition  
Keyword(3) filterbank outputs  
Keyword(4) cross spectrum  
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1st Author's Name Atsushi Ando  
1st Author's Affiliation Nagoya University (Nagoya Univ.)
2nd Author's Name Kenta Niwa  
2nd Author's Affiliation NTT Media Intelligence Laboratories (NTT)
3rd Author's Name Norihide Kitaoka  
3rd Author's Affiliation Nagoya University (Nagoya Univ.)
4th Author's Name Kazuya Takeda  
4th Author's Affiliation Nagoya University (Nagoya Univ.)
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Speaker Author-1 
Date Time 2012-12-21 14:40:00 
Presentation Time 25 minutes 
Registration for SP 
Paper # SP2012-93 
Volume (vol) vol.112 
Number (no) no.369 
Page pp.107-112 
#Pages 6 
Date of Issue 2012-12-13 (SP) 

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