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Paper Abstract and Keywords
Presentation 2021-12-03 11:00
Multi-speaker Audiobook Speech Synthesis using Discrete Character Acting Styles Acquired by VQVAE
Wataru Nakata, Tomoki Koriyama, Shinnosuke Takamichi, Yuki Saito (UT), Yusuke Ijima, Ryo Masumura (NTT), Hiroshi Saruwatari (UT) NLC2021-26 SP2021-47
Abstract (in Japanese) (See Japanese page) 
(in English) In this paper, we propose a method of extracting discrete character acting styles using vector quantized variational autoencoder (VQVAE) and multi-speaker audiobook speech synthesis based on extracted character acting styles. In audiobook corpora uttered by voice talents, the speech utterances contain acting depending on the character's attributes. Such acting should also be contained in synthesized audiobooks. However, predicting proper acting style and character attributes is still a hard challenge. To this end, we propose a method for extracting character acting styles from audiobook speech and conditioning TTS models by the extracted character acting styles to synthesize speech with character acting. The subjective evaluation shows that the proposed method achieves a closer character acting style to the ground truth speech.
Keyword (in Japanese) (See Japanese page) 
(in English) Audiobook speech synthesis / VQVAE / Character acting styles / / / / /  
Reference Info. IEICE Tech. Rep., vol. 121, no. 282, SP2021-47, pp. 42-47, Dec. 2021.
Paper # SP2021-47 
Date of Issue 2021-11-24 (NLC, SP) 
ISSN 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  
Conference Date 2021-12-01 - 2021-12-03 
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 2021-12-NLC-NL-SP-SLP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Multi-speaker Audiobook Speech Synthesis using Discrete Character Acting Styles Acquired by VQVAE 
Sub Title (in English)  
Keyword(1) Audiobook speech synthesis  
Keyword(2) VQVAE  
Keyword(3) Character acting styles  
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1st Author's Name Wataru Nakata  
1st Author's Affiliation The University of Tokyo (UT)
2nd Author's Name Tomoki Koriyama  
2nd Author's Affiliation The University of Tokyo (UT)
3rd Author's Name Shinnosuke Takamichi  
3rd Author's Affiliation The University of Tokyo (UT)
4th Author's Name Yuki Saito  
4th Author's Affiliation The University of Tokyo (UT)
5th Author's Name Yusuke Ijima  
5th Author's Affiliation Nippon Telegraph and Telephone Corporation (NTT)
6th Author's Name Ryo Masumura  
6th Author's Affiliation Nippon Telegraph and Telephone Corporation (NTT)
7th Author's Name Hiroshi Saruwatari  
7th Author's Affiliation The University of Tokyo (UT)
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Speaker Author-1 
Date Time 2021-12-03 11:00:00 
Presentation Time 30 minutes 
Registration for SP 
Paper # NLC2021-26, SP2021-47 
Volume (vol) vol.121 
Number (no) no.281(NLC), no.282(SP) 
Page pp.42-47 
#Pages
Date of Issue 2021-11-24 (NLC, SP) 


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