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Paper Abstract and Keywords
Presentation 2022-06-17 15:00
Study of End-to-End Text-to-Speech that can seamlessly control speaker's individuality by Manipulating Speaker features
Naoki Aotani, Sunao Hara, Msanobu Abe (Okayama Univ) SP2022-14
Abstract (in Japanese) (See Japanese page) 
(in English) In this paper, we investigate an End-to-End speech synthesis scheme that enables to seamlessly control speaker individuality using speaker features that represent speaker’s specific voice quality and average voice height as auxiliary information. Speaker individuality is controlled as follows. To generate a control feature vector, after extracting speaker features from two speakers, the speaker features are overlap added with weight.
In this paper, seamlessly controlling speaker individuality is referred to as the gradual change in speaker individuality by adjusting weights.
The speaker features used in this study are vectors obtained by combining two types of information.
The first is the x-vector used in conventional method to control voice quality.
The second is an average value of the fundamental frequency of the target voice to control the average voice height.
Here, x-vectors are extracted from speech that is modified to have the same mean F0 value, which result in minimizing interactions between x-vectors and fundamental frequency.
Results of the evaluation experiments showed that speaker individuality can be seamlessly controlled by gradually changing the weights in the case of female-female speaker pair and male-male speaker pair. However, it was not true in the case of female-male speaker pair.
Keyword (in Japanese) (See Japanese page) 
(in English) Speech synthesis / End-to-End / Deep Neural Network / speaker’s individuality / Voice Conversion / / /  
Reference Info. IEICE Tech. Rep., vol. 122, no. 81, SP2022-14, pp. 55-60, June 2022.
Paper # SP2022-14 
Date of Issue 2022-06-10 (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 SP2022-14

Conference Information
Committee SP IPSJ-MUS IPSJ-SLP  
Conference Date 2022-06-17 - 2022-06-18 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To SP 
Conference Code 2022-06-SP-MUS-SLP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Study of End-to-End Text-to-Speech that can seamlessly control speaker's individuality by Manipulating Speaker features 
Sub Title (in English)  
Keyword(1) Speech synthesis  
Keyword(2) End-to-End  
Keyword(3) Deep Neural Network  
Keyword(4) speaker’s individuality  
Keyword(5) Voice Conversion  
Keyword(6)  
Keyword(7)  
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1st Author's Name Naoki Aotani  
1st Author's Affiliation Okayama University (Okayama Univ)
2nd Author's Name Sunao Hara  
2nd Author's Affiliation Okayama University (Okayama Univ)
3rd Author's Name Msanobu Abe  
3rd Author's Affiliation Okayama University (Okayama Univ)
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Speaker Author-1 
Date Time 2022-06-17 15:00:00 
Presentation Time 120 minutes 
Registration for SP 
Paper # SP2022-14 
Volume (vol) vol.122 
Number (no) no.81 
Page pp.55-60 
#Pages 6 
Date of Issue 2022-06-10 (SP) 

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