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Paper Abstract and Keywords
Presentation 2018-01-21 14:45
An investigation of multi-speaker WaveNet vocoder
Tomoki Hayashi, Kazuhiro Kobayashi, Akira Tamamori, Kazuya Takeda, Tomoki Toda (Nagoya Univ.) SP2017-81
Abstract (in Japanese) (See Japanese page) 
(in English) In this paper, we investigate a multi-speaker WaveNet vocoder. In our previous work, we have demonstrated that our proposed speaker-dependent (SD) WaveNet vocoder, which is trained with a single speaker's speech data, is capable of modeling temporal waveform structure, such as phase information, and makes it possible to generate more natural sounding synthetic voices compared to the conventional high-quality vocoder, STRAIGHT. However, it is still difficult to generate synthetic voices of various speakers using the SD-WaveNet due to its speaker-dependent property. Towards the development of speaker-independent WaveNet vocoder, we update the auxiliary features, introduce the noise shaping technique, and apply multi-speaker training techniques to the WaveNet vocoder and investigate their effectiveness. Moreover, we investigate the effectiveness of the amount of training data. The experimental results demonstrate that 1) the multi-speaker WaveNet vocoder is comparable to SD WaveNet in generating known speakers' voices, but it is slightly worse in generating unknown speakers' voices, 2) the multi-speaker WaveNet vocoder outperforms STRAIGHT in generating both known and unknown speakers' voices, and 3) the scores of objective evaluation metrics are improved proportionally to the amount of training data.
Keyword (in Japanese) (See Japanese page) 
(in English) speech synthesis / vocoder / WaveNet / / / / /  
Reference Info. IEICE Tech. Rep., vol. 117, no. 393, SP2017-81, pp. 81-86, Jan. 2018.
Paper # SP2017-81 
Date of Issue 2018-01-13 (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)
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Conference Information
Committee SP ASJ-H  
Conference Date 2018-01-20 - 2018-01-21 
Place (in Japanese) (See Japanese page) 
Place (in English) The University of Tokyo 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To SP 
Conference Code 2018-01-SP-H 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) An investigation of multi-speaker WaveNet vocoder 
Sub Title (in English)  
Keyword(1) speech synthesis  
Keyword(2) vocoder  
Keyword(3) WaveNet  
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1st Author's Name Tomoki Hayashi  
1st Author's Affiliation Nagoya University (Nagoya Univ.)
2nd Author's Name Kazuhiro Kobayashi  
2nd Author's Affiliation Nagoya University (Nagoya Univ.)
3rd Author's Name Akira Tamamori  
3rd Author's Affiliation Nagoya University (Nagoya Univ.)
4th Author's Name Kazuya Takeda  
4th Author's Affiliation Nagoya University (Nagoya Univ.)
5th Author's Name Tomoki Toda  
5th Author's Affiliation Nagoya University (Nagoya Univ.)
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Speaker Author-1 
Date Time 2018-01-21 14:45:00 
Presentation Time 25 minutes 
Registration for SP 
Paper # SP2017-81 
Volume (vol) vol.117 
Number (no) no.393 
Page pp.81-86 
#Pages 6 
Date of Issue 2018-01-13 (SP) 

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