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Paper Abstract and Keywords
Presentation 2011-12-19 15:45
A study on language identification using non-negative matrix factorization as an extractor of phonotactic information
Tsuyoshi Ogata, Kazuyuki Takagi (UEC Tokyo) NLC2011-38 SP2011-83
Abstract (in Japanese) (See Japanese page) 
(in English) Language identification is the technique to identify the language being spoken by an unknown speaker. In this paper, phonotactic information was used as the feature for language identification. In order to obtain phonotactic information, it is required to extract the phoneme sequence from speech data. A template-based non-negative matrix factorization was applied for this purpose. The extracted phoneme sequence was then analyzed to yield n-gram models which may reflect the order in which the phoneme-like categories of speech occur in the language. Language identification was carried out by a support vector machine with the n-gram as the feature vector. It is shown that the identification performance changes with the number of spectrum templates and the order of n-gram, and that the best performance of 98.6% was obtained when the number of spectrum was 13 and the order of n-gram was 3.
Keyword (in Japanese) (See Japanese page) 
(in English) language identification / non-negative matrix factorization / support vector machine / / / / /  
Reference Info. IEICE Tech. Rep., vol. 111, no. 365, SP2011-83, pp. 45-48, Dec. 2011.
Paper # SP2011-83 
Date of Issue 2011-12-12 (NLC, 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 NLC2011-38 SP2011-83

Conference Information
Committee SP NLC IPSJ-SLP  
Conference Date 2011-12-19 - 2011-12-20 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
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Paper Information
Registration To SP 
Conference Code 2011-12-SP-NLC-SLP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A study on language identification using non-negative matrix factorization as an extractor of phonotactic information 
Sub Title (in English)  
Keyword(1) language identification  
Keyword(2) non-negative matrix factorization  
Keyword(3) support vector machine  
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1st Author's Name Tsuyoshi Ogata  
1st Author's Affiliation The University of Electro-Communications (UEC Tokyo)
2nd Author's Name Kazuyuki Takagi  
2nd Author's Affiliation The University of Electro-Communications (UEC Tokyo)
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Speaker Author-1 
Date Time 2011-12-19 15:45:00 
Presentation Time 90 minutes 
Registration for SP 
Paper # NLC2011-38, SP2011-83 
Volume (vol) vol.111 
Number (no) no.364(NLC), no.365(SP) 
Page pp.45-48 
#Pages 4 
Date of Issue 2011-12-12 (NLC, SP) 

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