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Paper Abstract and Keywords
Presentation 2016-01-14 15:10
Objective evaluation of synthetic speech using association between dimensions within spectral features
Yusuke Ijima, Taichi Asami (NTT), Hideyuki Mizuno (TUSS) SP2015-90
Abstract (in Japanese) (See Japanese page) 
(in English) This paper proposes a novel objective evaluation technique for statistical parametric speech synthesis. A novel point of the proposed technique is that it utilizes the association between dimensions within the spectral features. We first analyze the subjective scores obtained with respect to the associations of spectral features of natural and various synthesized speech by using a maximal information coefficient (MIC). The analysis results show that the scores improve with weaker association. We then propose the proposed objective evaluation index, which uses a voice conversion technique to detect the associations for each speech. We perform subjective and objective experiments and evaluate the performance results obtained by comparing them with the obtained subjective scores and the conventional objective evaluation index, i.e., mel-cepstral distortion. The results indicate that our proposed objective evaluation index is more effective than the mel-cepstral distortion.
Keyword (in Japanese) (See Japanese page) 
(in English) Statistical parametric speech synthesis / objective evaluation / spectral features / maximal information coefficient / / / /  
Reference Info. IEICE Tech. Rep., vol. 115, no. 392, SP2015-90, pp. 27-32, Jan. 2016.
Paper # SP2015-90 
Date of Issue 2016-01-07 (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 SP2015-90

Conference Information
Committee SP  
Conference Date 2016-01-14 - 2016-01-14 
Place (in Japanese) (See Japanese page) 
Place (in English) Sunpian Kawasaki 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Synthesis, Generation, Prosody, etc. 
Paper Information
Registration To SP 
Conference Code 2016-01-SP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Objective evaluation of synthetic speech using association between dimensions within spectral features 
Sub Title (in English)  
Keyword(1) Statistical parametric speech synthesis  
Keyword(2) objective evaluation  
Keyword(3) spectral features  
Keyword(4) maximal information coefficient  
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1st Author's Name Yusuke Ijima  
1st Author's Affiliation Nippon Telegraph and Telephone Corporation (NTT)
2nd Author's Name Taichi Asami  
2nd Author's Affiliation Nippon Telegraph and Telephone Corporation (NTT)
3rd Author's Name Hideyuki Mizuno  
3rd Author's Affiliation Tokyo University of Science, Suwa (TUSS)
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Speaker Author-1 
Date Time 2016-01-14 15:10:00 
Presentation Time 25 minutes 
Registration for SP 
Paper # SP2015-90 
Volume (vol) vol.115 
Number (no) no.392 
Page pp.27-32 
#Pages 6 
Date of Issue 2016-01-07 (SP) 

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