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Paper Abstract and Keywords
Presentation 2018-03-14 13:10
Silent Japanese Single Syllable Recognition using Similarities of Muscular Activity Transitions between EMG Channels
Hidetoshi Nagai (Kyutech) MBE2017-104
Abstract (in Japanese) (See Japanese page) 
(in English) In inaudible speech recognition based on surface EMG, recognition of consonants is one of the important tasks. When uttering some kinds of consonants, muscle activities change rapidly in a short time. So, in order to capture the transitions using a sequence of windows, it is necessary to narrow the windows and to reduce the shift size of windows. In that case, the extracted feature values becomes vulnerable to signal changes like noise and fluctuation of utterance speed. Also, not all muscles contribute equivalently to various utterance. The feature values extracted from the EMGs of muscles that are not contributing is the same as the noise, and will adversely affect the recognition result. However, it is difficult to judge the degree of contribution of the channel from the signal of the channel.
At utterance, muscles work cooperatively according to the utterance. Therefore, there is a high possibility that features that are effective for recognition may exist in the state of cooperation of the muscles. In this paper, we propose a feature based on the similarity of the muscle activity transitions of the channel pair and the importance of the pair. And using the feature as the recognition parameter, we tried to recognize an isolated Japanese syllable which is a single vowel or a sequence of a consonant and a vowel.
Keyword (in Japanese) (See Japanese page) 
(in English) inaudible speech recognition / silent speech recognition / surface EMG / wavelet analysis / wavelets' center-of-balance / center-of-balance transition method / /  
Reference Info. IEICE Tech. Rep., vol. 117, no. 507, MBE2017-104, pp. 119-124, March 2018.
Paper # MBE2017-104 
Date of Issue 2018-03-06 (MBE) 
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)
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Conference Information
Committee MBE NC  
Conference Date 2018-03-13 - 2018-03-14 
Place (in Japanese) (See Japanese page) 
Place (in English) Kikai-Shinko-Kaikan Bldg. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) ME, general 
Paper Information
Registration To MBE 
Conference Code 2018-03-MBE-NC 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Silent Japanese Single Syllable Recognition using Similarities of Muscular Activity Transitions between EMG Channels 
Sub Title (in English)  
Keyword(1) inaudible speech recognition  
Keyword(2) silent speech recognition  
Keyword(3) surface EMG  
Keyword(4) wavelet analysis  
Keyword(5) wavelets' center-of-balance  
Keyword(6) center-of-balance transition method  
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1st Author's Name Hidetoshi Nagai  
1st Author's Affiliation Kyushu Institute of Technology (Kyutech)
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Speaker Author-1 
Date Time 2018-03-14 13:10:00 
Presentation Time 25 minutes 
Registration for MBE 
Paper # MBE2017-104 
Volume (vol) vol.117 
Number (no) no.507 
Page pp.119-124 
#Pages
Date of Issue 2018-03-06 (MBE) 


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