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Paper Abstract and Keywords
Presentation 2017-03-01 12:40
[Poster Presentation] An investigation of speaker adaptation method for DNN-based speech synthesis using speaker codes
Nobukatsu Hojo, Yusuke Ijima (NTT) EA2016-108 SIP2016-163 SP2016-103
Abstract (in Japanese) (See Japanese page) 
(in English) In this work, we conducted objective evaluation experiments on the conventional speaker adaptation methods for DNN-based text-to-speech synthesis in order to compare their performance. One speaker adaptation method is based on speaker codes, which uses speaker codes as a input to the hidden layers. Besides the speaker adaptation method which reestimates the target speaker’s code, we have proposed the adaptation method to estimate the regression function for speaker codes. The other speaker adaptation method uses speaker dependent output layer, which shares hidden layers across all the speakers while the output layers are composed of speaker-dependent nodes. The model can be adapted to a target speaker by estimating regression layer parameters for the corresponding output layer. It has not been revealed how the difference of the model architecture and the number of adaptation parameters affects the performance. This work conducts speaker adaptation experiments using speech corpus which consists of 35 speakers’ speech data, and compared the performance by objective measure. From the experimental results, it was revealed that the speaker code-based models with more adaptation parameters show higher performance. It was also shown that the speaker code based models show comparable performance to speaker dependent output layer models when the number of adaptation parameters is set to large.
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. 477, SP2016-103, pp. 147-152, March 2017.
Paper # SP2016-103 
Date of Issue 2017-02-22 (EA, SIP, 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 EA2016-108 SIP2016-163 SP2016-103

Conference Information
Committee SP SIP EA  
Conference Date 2017-03-01 - 2017-03-02 
Place (in Japanese) (See Japanese page) 
Place (in English) Okinawa Industry Support Center 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Speech, Engineering/Electro Acoustics, Signal Processing, and Related Topics 
Paper Information
Registration To SP 
Conference Code 2017-03-SP-SIP-EA 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) An investigation of speaker adaptation method for DNN-based speech synthesis using speaker codes 
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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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)
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Speaker Author-1 
Date Time 2017-03-01 12:40:00 
Presentation Time 90 minutes 
Registration for SP 
Paper # EA2016-108, SIP2016-163, SP2016-103 
Volume (vol) vol.116 
Number (no) no.475(EA), no.476(SIP), no.477(SP) 
Page pp.147-152 
#Pages 6 
Date of Issue 2017-02-22 (EA, SIP, SP) 

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