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Paper Abstract and Keywords
Presentation 2014-12-15 19:20
An experimental study of definitions of reference pronunciation distances and acoustic features used for distance prediction with the aim of pronunciation clustering
Shun Kasahara (Univ. of Tokyo), Tianze Shi (Tsinghua Univ.), Nobuaki Minematsu, Daisuke Saito, Keikichi Hirose (Univ. of Tokyo) SP2014-110
Abstract (in Japanese) (See Japanese page) 
(in English) “World Englishes” indicates well one aspect of the current state of English as an international language, which claims that there is no need to standardize the language of English and we have to accept its diversity. The purpose of this study is to propose a technique to realize individual-basis pronunciation clustering in order to inform each user of how his/her pronunciation is located in the diversity of World Englishes pronunciations. In this paper, we tried to predict inter-speaker pronunciation distances only from their speech signals. At first, some experiments were conducted to investigate how suitable the proposed definition of pronunciation distances is for World Englishes clustering. Next, for automatic prediction of distances, we introduced absolute features which are derived by direct comparison between corresponding phoneme HMMs of a speaker pair. By increasing temporal and spectral resolutions, HMM-supervector was derived as one kind of the absolute features. Experiments showed that these features were very effective for prediction and we can expect that the structural features, which we proposed in our previous studies, will bring a much better performance by increasing their resolutions.
Keyword (in Japanese) (See Japanese page) 
(in English) World Englishes / pronunciation clustering / subjective score / structural representation / support vector regression / HMM-supervector / /  
Reference Info. IEICE Tech. Rep., vol. 114, no. 365, SP2014-110, pp. 47-52, Dec. 2014.
Paper # SP2014-110 
Date of Issue 2014-12-08 (SP) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380
Copyright
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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 NLC IPSJ-NL SP IPSJ-SLP JSAI-SLUD  
Conference Date 2014-12-15 - 2014-12-17 
Place (in Japanese) (See Japanese page) 
Place (in English) Tokyo Institute of Technology (Suzukakedai Campus) 
Topics (in Japanese) (See Japanese page) 
Topics (in English) The 6th Symposium on Collective Knowlege 
Paper Information
Registration To SP 
Conference Code 2014-12-NLC-NL-SP-SLP-SLUD 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) An experimental study of definitions of reference pronunciation distances and acoustic features used for distance prediction with the aim of pronunciation clustering 
Sub Title (in English)  
Keyword(1) World Englishes  
Keyword(2) pronunciation clustering  
Keyword(3) subjective score  
Keyword(4) structural representation  
Keyword(5) support vector regression  
Keyword(6) HMM-supervector  
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Keyword(8)  
1st Author's Name Shun Kasahara  
1st Author's Affiliation The University of Tokyo (Univ. of Tokyo)
2nd Author's Name Tianze Shi  
2nd Author's Affiliation Tsinghua University (Tsinghua Univ.)
3rd Author's Name Nobuaki Minematsu  
3rd Author's Affiliation The University of Tokyo (Univ. of Tokyo)
4th Author's Name Daisuke Saito  
4th Author's Affiliation The University of Tokyo (Univ. of Tokyo)
5th Author's Name Keikichi Hirose  
5th Author's Affiliation The University of Tokyo (Univ. of Tokyo)
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Speaker
Date Time 2014-12-15 19:20:00 
Presentation Time 25 
Registration for SP 
Paper # IEICE-SP2014-110 
Volume (vol) IEICE-114 
Number (no) no.365 
Page pp.47-52 
#Pages IEICE-6 
Date of Issue IEICE-SP-2014-12-08 


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