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Paper Abstract and Keywords
Presentation 2015-03-17 09:55
Silent Season BCI -- Performance of HMM --
Takashi Ito, Hiromi Yamaguchi (KIT), Ayaka Yamaguchi (Hitachi systems), Toshimasa Yamazaki (KIT), Shin'ichi Fukuzumi (NEC), Takahiro Yamanoi (Hokkaido Gakuen University) MBE2014-130 NC2014-81
Abstract (in Japanese) (See Japanese page) 
(in English) The purpose of this study is to generalize our previous SSBCI (Silent Speech Brain-Computer Interface) study proposed in terms of vowel recognition, The SSBCI uses both single-trial EEGs and speech signals. In this paper, we analyzed EEGs and speech signals during the silent season (SS) task only with “haru” and “natsu”. First, using a Kalman filter (KF), we described the relationship between spectrograms of the speech signals and the EEGs whose dipole solutions were localized to the Broca’s area. The spectrograms were transformed into vowel and consonant sequences, and these seguence were learned by Hidden Markov Model (HMM). Next, we predicted spectrograms for the SS task from the KF and calculated log-likelihood by inputting the spectrograms to the HMM. By comparing “haru”-log-likelihood and “natsu”-log-likelihood, we discriminated between “haru” and “natsu” on SS task. As a result regarding confusion matrices, the accuracy was 83% (“haru”) and 67% (“natsu”).
Keyword (in Japanese) (See Japanese page) 
(in English) BCI / silent speech / ICA / ECDL / Kalman filter / HMM / /  
Reference Info. IEICE Tech. Rep., vol. 114, no. 514, MBE2014-130, pp. 81-84, March 2015.
Paper # MBE2014-130 
Date of Issue 2015-03-09 (MBE, NC) 
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 NC MBE  
Conference Date 2015-03-16 - 2015-03-17 
Place (in Japanese) (See Japanese page) 
Place (in English) Tamagawa University 
Topics (in Japanese) (See Japanese page) 
Topics (in English) ME, etc 
Paper Information
Registration To MBE 
Conference Code 2015-03-NC-MBE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Silent Season BCI 
Sub Title (in English) Performance of HMM 
Keyword(1) BCI  
Keyword(2) silent speech  
Keyword(3) ICA  
Keyword(4) ECDL  
Keyword(5) Kalman filter  
Keyword(6) HMM  
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1st Author's Name Takashi Ito  
1st Author's Affiliation Kyusyu Institute of Technology (KIT)
2nd Author's Name Hiromi Yamaguchi  
2nd Author's Affiliation Kyusyu Institute of Technology (KIT)
3rd Author's Name Ayaka Yamaguchi  
3rd Author's Affiliation Hitachi systems, Ltd. (Hitachi systems)
4th Author's Name Toshimasa Yamazaki  
4th Author's Affiliation Kyusyu Institute of Technology (KIT)
5th Author's Name Shin'ichi Fukuzumi  
5th Author's Affiliation NEC Corporation (NEC)
6th Author's Name Takahiro Yamanoi  
6th Author's Affiliation Hokkaido Gakuen University (Hokkaido Gakuen University)
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Speaker Author-1 
Date Time 2015-03-17 09:55:00 
Presentation Time 25 minutes 
Registration for MBE 
Paper # MBE2014-130, NC2014-81 
Volume (vol) vol.114 
Number (no) no.514(MBE), no.515(NC) 
Page pp.81-84 
#Pages
Date of Issue 2015-03-09 (MBE, NC) 


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