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Paper Abstract and Keywords
Presentation 2014-05-24 11:30
Native language recognition using machine learning
Ryota Sakagami, Kouki Takeshita, Longbiao Wang, Masahiro Iwahashi (Nagaoka Univ. of Tech) SP2014-13
Abstract (in Japanese) (See Japanese page) 
(in English) The difference in pronunciation occurs in a non-native speaker and a native speaker. Therefore, communication is difficult. In such a case, I would like to use speech recognition technology in research. It requires distinction of a native language. It is because suitable speech recognition is possible if a native language is known. However, there is a problem. It is the reverberation by actual environment. Therefore, the utterance sound to which reverberation was attached is used. First, the GMM model was created with the utterance sound to which reverberation was attached. The model distinguishes the native language of the sound to which reverberation was attached. When all the results were averaged, it became a distinction rate of about 85%.
Keyword (in Japanese) (See Japanese page) 
(in English) machine learning / GMM / acoustic model / Classification of the native language / / / /  
Reference Info. IEICE Tech. Rep., vol. 114, no. 52, SP2014-13, pp. 139-141, May 2014.
Paper # SP2014-13 
Date of Issue 2014-05-17 (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 SP2014-13

Conference Information
Committee SP IPSJ-MUS  
Conference Date 2014-05-24 - 2014-05-25 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To SP 
Conference Code 2014-05-SP-MUS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Native language recognition using machine learning 
Sub Title (in English)  
Keyword(1) machine learning  
Keyword(2) GMM  
Keyword(3) acoustic model  
Keyword(4) Classification of the native language  
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1st Author's Name Ryota Sakagami  
1st Author's Affiliation Nagaoka University of Technology (Nagaoka Univ. of Tech)
2nd Author's Name Kouki Takeshita  
2nd Author's Affiliation Nagaoka University of Technology (Nagaoka Univ. of Tech)
3rd Author's Name Longbiao Wang  
3rd Author's Affiliation Nagaoka University of Technology (Nagaoka Univ. of Tech)
4th Author's Name Masahiro Iwahashi  
4th Author's Affiliation Nagaoka University of Technology (Nagaoka Univ. of Tech)
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Speaker Author-1 
Date Time 2014-05-24 11:30:00 
Presentation Time 240 minutes 
Registration for SP 
Paper # SP2014-13 
Volume (vol) vol.114 
Number (no) no.52 
Page pp.139-141 
#Pages 3 
Date of Issue 2014-05-17 (SP) 

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