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Paper Abstract and Keywords
Presentation 2016-07-28 15:45
On the Use of Speaker Codes for Multi-Speaker Modeling in DNN-based Speech Synthesis
Nobukatsu Hojo, Yusuke Ijima (NTT), Hideyuki Mizuno (Tokyo University of Science, Suwa) SP2016-22
Abstract (in Japanese) (See Japanese page) 
(in English) Recent studies have shown that DNN-based speech synthesis can generate more natural synthesized speech than the conventional HMM-based speech synthesis.However, it is not revealed whether the synthesized speech quality can be improved by utilizing a multi-speaker speech corpus.To investigate this problem, this paper proposes DNN-based speech synthesis using speaker codes as a simple method to improve the performance of the conventional speaker dependent DNN-based method. In order to model speaker variation in the DNN, speaker codes are fed to the hidden layer(s) of the DNN. The proposed method trains connection weights of the whole DNN utilizing a multi-speaker speech corpus. To synthesize a speech parameter sequence, a target speaker is chosen from the corpus and the speaker code corresponding to the selected target speaker is fed to the DNN to generate the speaker's voice. We investigated the relationship between the prediction performance and architecture of the DNNs by changing the hidden layer used for speaker codes. Experimental results showed that the proposed model outperformed the conventional speaker-dependent DNN when the model architecture was set at optimal depending on the amount of training data of the selected target speaker.
Keyword (in Japanese) (See Japanese page) 
(in English) speech synthesis / acoustic model / deep neural network / speaker codes / / / /  
Reference Info. IEICE Tech. Rep., vol. 116, no. 165, SP2016-22, pp. 13-18, July 2016.
Paper # SP2016-22 
Date of Issue 2016-07-21 (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 SP2016-22

Conference Information
Committee SP IPSJ-SLP  
Conference Date 2016-07-28 - 2016-07-30 
Place (in Japanese) (See Japanese page) 
Place (in English) Takinoyu Hotel 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Speech recognition and understanding, dialog system, etc. 
Paper Information
Registration To SP 
Conference Code 2016-07-SP-SLP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) On the Use of Speaker Codes for Multi-Speaker Modeling in DNN-based Speech Synthesis 
Sub Title (in English)  
Keyword(1) speech synthesis  
Keyword(2) acoustic model  
Keyword(3) deep neural network  
Keyword(4) speaker codes  
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Keyword(6)  
Keyword(7)  
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1st Author's Name Nobukatsu Hojo  
1st Author's Affiliation Nippon Telegraph and Telephone Corporation (NTT)
2nd Author's Name Yusuke Ijima  
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 (Tokyo University of Science, Suwa)
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Speaker Author-1 
Date Time 2016-07-28 15:45:00 
Presentation Time 30 minutes 
Registration for SP 
Paper # SP2016-22 
Volume (vol) vol.116 
Number (no) no.165 
Page pp.13-18 
#Pages 6 
Date of Issue 2016-07-21 (SP) 

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