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Paper Abstract and Keywords
Presentation 2015-01-22 14:40
Automatic prediction of intelligibility of English words spoken with Japanese accents -- Comparative study of features and models used for prediction --
Teeraphon Pongkittiphan, Nobuaki Minematsu (Univ Tokyo), Takehiko Makino (Chuo Univ.), Daisuke Saito, Keikichi Hirose (Univ Tokyo) SP2014-132
Abstract (in Japanese) (See Japanese page) 
(in English) This study investigates automatic prediction of the words in given sentences that will be unintelligible to American listeners when they are pronounced with Japanese accents. The ERJ intelligibility database contains results of a large listening test, where 800 English sentences read with Japanese accents were presented to 173 American listeners and correct perception rate was obtained for each spoken word. By using this database, in our previous study, an intelligibility predictor was built for each word of input texts or utterances. For prediction, lexical and linguistic features were extracted from texts and pronunciation distance and word confusability were calculated from utterances. CART was used as prediction model. In this paper, new features that are related to speech prosody and three new prediction models of ensemble methods (Adaboost, Random Forest and Extremely Randomized Trees) are tested and compared to the old features and model. Finally, our new system can predict very unintelligible and rather unintelligible words with F1-scores of 72.74% and 84.78%, respectively.
Keyword (in Japanese) (See Japanese page) 
(in English) spoken word intelligibility / ERJ database / prosodic features / machine learning / IPA / L2 learning / foreign accent /  
Reference Info. IEICE Tech. Rep., vol. 114, no. 411, SP2014-132, pp. 31-36, Jan. 2015.
Paper # SP2014-132 
Date of Issue 2015-01-15 (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)
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Conference Information
Committee SP  
Conference Date 2015-01-22 - 2015-01-22 
Place (in Japanese) (See Japanese page) 
Place (in English) Juroku Plaza 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To SP 
Conference Code 2015-01-SP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Automatic prediction of intelligibility of English words spoken with Japanese accents 
Sub Title (in English) Comparative study of features and models used for prediction 
Keyword(1) spoken word intelligibility  
Keyword(2) ERJ database  
Keyword(3) prosodic features  
Keyword(4) machine learning  
Keyword(5) IPA  
Keyword(6) L2 learning  
Keyword(7) foreign accent  
Keyword(8)  
1st Author's Name Teeraphon Pongkittiphan  
1st Author's Affiliation The University of Tokyo (Univ Tokyo)
2nd Author's Name Nobuaki Minematsu  
2nd Author's Affiliation The University of Tokyo (Univ Tokyo)
3rd Author's Name Takehiko Makino  
3rd Author's Affiliation Chuo University (Chuo Univ.)
4th Author's Name Daisuke Saito  
4th Author's Affiliation The University of Tokyo (Univ Tokyo)
5th Author's Name Keikichi Hirose  
5th Author's Affiliation The University of Tokyo (Univ Tokyo)
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Speaker Author-1 
Date Time 2015-01-22 14:40:00 
Presentation Time 25 minutes 
Registration for SP 
Paper # SP2014-132 
Volume (vol) vol.114 
Number (no) no.411 
Page pp.31-36 
#Pages 6 
Date of Issue 2015-01-15 (SP) 

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