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Paper Abstract and Keywords
Presentation 2021-03-04 09:00
Optimization source-filtere based speech waveform generation using adversarial training
Hayato Mitsui, Yosuke Sugiura, Nozomiko Yasui, Tetsuya Shimamura (Saitama Univ.) SIS2020-35
Abstract (in Japanese) (See Japanese page) 
(in English) This research aims to improve the accuracy of the source-filter based speech waveform generation model using deep learning. While the source-filter based speech waveform generation model can be implemented with lower computational cost compared with WaveNet based on Pixel CNN, this model produces a low-quality speech. To maintain the naturalness of the generated speech, we introduce a mutli-task training architecture using the adversarial training. In the proposed method, we use the architecture of MelGAN as the adversarial training. From the experimental results, we reveal that the proposed method can obtain the dynamics of speech which was lost in the case of the conventional method.
Keyword (in Japanese) (See Japanese page) 
(in English) Deep Learning / Speech synthesis / Source-Filter theory / Adversarial training / / / /  
Reference Info. IEICE Tech. Rep., vol. 120, no. 415, SIS2020-35, pp. 1-4, March 2021.
Paper # SIS2020-35 
Date of Issue 2021-02-25 (SIS) 
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 SIS  
Conference Date 2021-03-04 - 2021-03-05 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Soft Computing, etc. 
Paper Information
Registration To SIS 
Conference Code 2021-03-SIS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Optimization source-filtere based speech waveform generation using adversarial training 
Sub Title (in English)  
Keyword(1) Deep Learning  
Keyword(2) Speech synthesis  
Keyword(3) Source-Filter theory  
Keyword(4) Adversarial training  
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1st Author's Name Hayato Mitsui  
1st Author's Affiliation Graduate School of Science and Engineering, Saitama University (Saitama Univ.)
2nd Author's Name Yosuke Sugiura  
2nd Author's Affiliation Graduate School of Science and Engineering, Saitama University (Saitama Univ.)
3rd Author's Name Nozomiko Yasui  
3rd Author's Affiliation Graduate School of Science and Engineering, Saitama University (Saitama Univ.)
4th Author's Name Tetsuya Shimamura  
4th Author's Affiliation Graduate School of Science and Engineering, Saitama University (Saitama Univ.)
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Speaker Author-1 
Date Time 2021-03-04 09:00:00 
Presentation Time 20 minutes 
Registration for SIS 
Paper # SIS2020-35 
Volume (vol) vol.120 
Number (no) no.415 
Page pp.1-4 
#Pages
Date of Issue 2021-02-25 (SIS) 


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