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Paper Abstract and Keywords
Presentation 2017-03-01 09:45
Nonaudible murmur enhancement based on non-negative tensor factorization with segment feature regularization in noisy environments
Yusuke Tajiri (Nagoya Univ.), Hirokazu Kameoka (NTT), Tomoki Toda (Nagoya Univ.) EA2016-83 SIP2016-138 SP2016-78
Abstract (in Japanese) (See Japanese page) 
(in English) Towards the development of silent speech communication, there has been studied a statistical approach to enhancing nonaudible murmur (NAM), which is an extremely soft whispered voice detected with a special body-conductive microphone. Although the body-conductive recording is relatively robust against external noise, NAM detected under noisy conditions easily suffers from external noise due to its very faint volume, causing significant performance degradation in the statistical enhancement process. Our previously proposed noise suppression method based on external noise monitoring and constrained non-negative tensor factorization (NTF) is capable of significantly reducing the external noise but it doesn't always yield significant improvements in the enhancement performance. To address this issue, in this report we propose a noise suppression method using a regularization on NAM segmental features to be used as the input feature in the NAM enhancement. The experimental results have demonstrated that the proposed method is effective for improving the enhancement performance.
Keyword (in Japanese) (See Japanese page) 
(in English) silent speech communication / nonaudible murmur enhancement / external noise monitoring / non-negative matrix factorization / feature regularization / / /  
Reference Info. IEICE Tech. Rep., vol. 116, no. 477, SP2016-78, pp. 7-12, March 2017.
Paper # SP2016-78 
Date of Issue 2017-02-22 (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)
Download PDF EA2016-83 SIP2016-138 SP2016-78

Conference Information
Committee SP SIP EA  
Conference Date 2017-03-01 - 2017-03-02 
Place (in Japanese) (See Japanese page) 
Place (in English) Okinawa Industry Support Center 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Speech, Engineering/Electro Acoustics, Signal Processing, and Related Topics 
Paper Information
Registration To SP 
Conference Code 2017-03-SP-SIP-EA 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Nonaudible murmur enhancement based on non-negative tensor factorization with segment feature regularization in noisy environments 
Sub Title (in English)  
Keyword(1) silent speech communication  
Keyword(2) nonaudible murmur enhancement  
Keyword(3) external noise monitoring  
Keyword(4) non-negative matrix factorization  
Keyword(5) feature regularization  
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1st Author's Name Yusuke Tajiri  
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 Tomoki Toda  
3rd Author's Affiliation Nagoya University (Nagoya Univ.)
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Speaker Author-1 
Date Time 2017-03-01 09:45:00 
Presentation Time 25 minutes 
Registration for SP 
Paper # EA2016-83, SIP2016-138, SP2016-78 
Volume (vol) vol.116 
Number (no) no.475(EA), no.476(SIP), no.477(SP) 
Page pp.7-12 
#Pages 6 
Date of Issue 2017-02-22 (EA, SIP, SP) 

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