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Paper Abstract and Keywords
Presentation 2015-11-12 17:00
Noise suppression method for body-conducted soft speech based on external noise monitoring
Yusuke Tajiri (NAIST), Tomoki Toda (Nagoya Univ.), Satoshi Nakamura (NAIST) EA2015-31 EMM2015-52
Abstract (in Japanese) (See Japanese page) 
(in English) As one of the silent speech interfaces, nonaudible murmur (NAM) microphone has been developed for detecting an extremely soft speech through the soft tissue.In recent years, several enhancement methods based on statistical voice conversion techniques have also been proposed to improve the quality of body-conducted speech, and their effectiveness has been confirmed in a quiet environment. However, it is expected that the NAM microphone will be used not only in quiet, but also in noisy environments. Although the NAM microphone is robust against external noise compared to a usual air-conductive microphone, it is difficult to completely block the external noise signals. Therefore, their effect on the body-conducted speech signal cannot be ignored. In particular, when detecting soft speech like NAM or a whispered voice, its body-conducted speech signal easily suffers from the external noise signals because power of soft speech is too small. To address this issue, we propose a noise suppression method for the body-conducted soft speech based on external noise monitoring using an air-conductive microphone. Experimental results demonstrate that the proposed method yields 10 dB SNR improvements in 80 dBA noisy conditions and also yields significant improvements in sound quality of body-conducted soft speech.
Keyword (in Japanese) (See Japanese page) 
(in English) silent speech communication / nonaudible murmur / noise suppression / external noise monitoring / semi-blind source separation / / /  
Reference Info. IEICE Tech. Rep., vol. 115, no. 302, EA2015-31, pp. 41-46, Nov. 2015.
Paper # EA2015-31 
Date of Issue 2015-11-05 (EA, EMM) 
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 EA2015-31 EMM2015-52

Conference Information
Committee EA EMM  
Conference Date 2015-11-12 - 2015-11-13 
Place (in Japanese) (See Japanese page) 
Place (in English) Kumamoto Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Multimedia Fusion, Content Processing, Multimedia Retrieval, Digital Watermarking, and Related Topics 
Paper Information
Registration To EA 
Conference Code 2015-11-EA-EMM 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Noise suppression method for body-conducted soft speech based on external noise monitoring 
Sub Title (in English)  
Keyword(1) silent speech communication  
Keyword(2) nonaudible murmur  
Keyword(3) noise suppression  
Keyword(4) external noise monitoring  
Keyword(5) semi-blind source separation  
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1st Author's Name Yusuke Tajiri  
1st Author's Affiliation Nara Institute of Science and Technology (NAIST)
2nd Author's Name Tomoki Toda  
2nd Author's Affiliation Nagoya University (Nagoya Univ.)
3rd Author's Name Satoshi Nakamura  
3rd Author's Affiliation Nara Institute of Science and Technology (NAIST)
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Speaker Author-1 
Date Time 2015-11-12 17:00:00 
Presentation Time 30 minutes 
Registration for EA 
Paper # EA2015-31, EMM2015-52 
Volume (vol) vol.115 
Number (no) no.302(EA), no.303(EMM) 
Page pp.41-46 
#Pages 6 
Date of Issue 2015-11-05 (EA, EMM) 

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