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Paper Abstract and Keywords
Presentation 2021-03-03 14:05
[Poster Presentation] Investigation of DNN-based speech synthesis utilizing oral reading skills obtained from large scale subjective evaluation
Shun Akui (UTokyo), Yusuke Ijima (NTT), Daisuke Saito, Nobuaki Minematsu (UTokyo) EA2020-71 SIP2020-102 SP2020-36
Abstract (in Japanese) (See Japanese page) 
(in English) So far, we have been suggested the value of `oral reading skill' based on a listening evaluation experiment as a quantitative index which represents how much the reading voice is heard as a professional narrator's one. In this paper, we attempt to utilize such information of skill for DNN-based speech synthesis by adding the value of oral reading skill to the input of the multispeaker DNN speech synthesis model. This can be expected to manipulate the reading skill of synthesized voice without changing its individuality. We considered different patterns of hidden layers the value of oral reading skill is added to. For each case, we discussed by objective evaluation and subjective evaluation based on listening experiment whether the reading skill of the synthesized voice changes as expected with its naturalness and individuality preserved.
Keyword (in Japanese) (See Japanese page) 
(in English) speech synthesis / deep neural network / oral reading skill / / / / /  
Reference Info. IEICE Tech. Rep., vol. 120, no. 399, SP2020-36, pp. 68-73, March 2021.
Paper # SP2020-36 
Date of Issue 2021-02-24 (EA, SIP, SP) 
ISSN 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 EA2020-71 SIP2020-102 SP2020-36

Conference Information
Committee EA US SP SIP IPSJ-SLP  
Conference Date 2021-03-03 - 2021-03-04 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Speech, Engineering/Electro Acoustics, Signal Processing, Ultrasonics, and Related Topics 
Paper Information
Registration To SP 
Conference Code 2021-03-EA-US-SP-SIP-SLP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Investigation of DNN-based speech synthesis utilizing oral reading skills obtained from large scale subjective evaluation 
Sub Title (in English)  
Keyword(1) speech synthesis  
Keyword(2) deep neural network  
Keyword(3) oral reading skill  
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1st Author's Name Shun Akui  
1st Author's Affiliation The University of Tokyo (UTokyo)
2nd Author's Name Yusuke Ijima  
2nd Author's Affiliation Nippon Telegraph and Telephone Corporation (NTT)
3rd Author's Name Daisuke Saito  
3rd Author's Affiliation The University of Tokyo (UTokyo)
4th Author's Name Nobuaki Minematsu  
4th Author's Affiliation The University of Tokyo (UTokyo)
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Speaker Author-1 
Date Time 2021-03-03 14:05:00 
Presentation Time 90 minutes 
Registration for SP 
Paper # EA2020-71, SIP2020-102, SP2020-36 
Volume (vol) vol.120 
Number (no) no.397(EA), no.398(SIP), no.399(SP) 
Page pp.68-73 
#Pages 6 
Date of Issue 2021-02-24 (EA, SIP, SP) 

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