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Paper Abstract and Keywords
Presentation 2019-10-27 09:20
Word Recognition using word likelihood vector from speech-imagery EEG
Satoka Hirata, Yurie Iribe (Aichi Prefectual Univ.), Kentaro Fukai, Kouichi Katsurada (Tokyo Univ. of Science), Tsuneo Nitta (Waseda Univ./Toyohashi Univ. of Tech.) SP2019-29 WIT2019-28
Abstract (in Japanese) (See Japanese page) 
(in English) Previous research suggests that humans manipulate the machine using their electroencephalogram called BCI （Brain Computer Interface）. However, there are not existed effective methods for speech imagery recognition. In this report, we performed word recognition of 10 numbers using speech-imagery EEG signals that could be measured through a non-invasive technique to reduce user’s burden. After removing the noise contained in EEG signals, line spectra feature was extracted from the amplitude spectra obtained by LPA. Next, word likelihood vector was calculated based on line spectra feature. We carried out the word recognition experiment of 10 numbers using one or the other or both of line spectra and word likelihood vector to clear the effective features. As a result, it was clarified that the likelihood vector based method got the highest accuracy in all features.
Keyword (in Japanese) (See Japanese page) 
(in English) Speech-imagery EEG / Word recognition / Likelihood vector / / / / /  
Reference Info. IEICE Tech. Rep., vol. 119, no. 250, SP2019-29, pp. 69-73, Oct. 2019.
Paper # SP2019-29 
Date of Issue 2019-10-19 (SP, WIT) 
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 SP2019-29 WIT2019-28

Conference Information
Committee WIT SP  
Conference Date 2019-10-26 - 2019-10-27 
Place (in Japanese) (See Japanese page) 
Place (in English) Daiichi Institute of Technology 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To SP 
Conference Code 2019-10-WIT-SP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Word Recognition using word likelihood vector from speech-imagery EEG 
Sub Title (in English)  
Keyword(1) Speech-imagery EEG  
Keyword(2) Word recognition  
Keyword(3) Likelihood vector  
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1st Author's Name Satoka Hirata  
1st Author's Affiliation Aichi Prefectual University (Aichi Prefectual Univ.)
2nd Author's Name Yurie Iribe  
2nd Author's Affiliation Aichi Prefectual University (Aichi Prefectual Univ.)
3rd Author's Name Kentaro Fukai  
3rd Author's Affiliation Tokyo University of Science (Tokyo Univ. of Science)
4th Author's Name Kouichi Katsurada  
4th Author's Affiliation Tokyo University of Science (Tokyo Univ. of Science)
5th Author's Name Tsuneo Nitta  
5th Author's Affiliation Waseda University/Toyohashi University of Technology (Waseda Univ./Toyohashi Univ. of Tech.)
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Speaker Author-1 
Date Time 2019-10-27 09:20:00 
Presentation Time 20 minutes 
Registration for SP 
Paper # SP2019-29, WIT2019-28 
Volume (vol) vol.119 
Number (no) no.250(SP), no.251(WIT) 
Page pp.69-73 
#Pages 5 
Date of Issue 2019-10-19 (SP, WIT) 

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