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Paper Abstract and Keywords
Presentation 2018-12-10 16:30
Evaluation of Japanese end-to-end speech synthesis method inputting kana and prosodic symbols
Kiyoshi Kurihara, Nobumasa Seiyama, Tadashi Kumano, Atsushi Imai (NHK) SP2018-49
Abstract (in Japanese) (See Japanese page) 
(in English) The purpose of this study was to conduct end-to-end text-to-speech synthesis in Japanese; we developed a system that uses Japanese kana characters and prosodic symbols as input for text-to-speech synthesis of the encoder-decoder model. Full-context phoneme labels are currently used for learning data in our system of statistical parametric speech synthesis, which uses a deep neural network (DNN) operating on broadcasting content. The data are composed of phonemes, phoneme boundary positions, accents, and accent phrases and are calculated automatically by executing language processing and forced alignment. The problem with this method is the high cost of manual correction for high-quality text-to-speech synthesis. In contrast, the proposed method does not prepare phoneme boundary positions. It was found that the workload of correcting the phoneme boundary position, which is particularly expensive, could be omitted. Japanese kana characters and prosodic symbols are simple description methods for representing speech. Hence, it is possible to directly compose kana and prosody and to arrange data without preparing dedicated software. In this study, we employed Japanese kana characters and prosodic symbols as the input method for text-to-speech synthesis by learning the encoder-decoder model. Subjective evaluation experiments indicated that Japanese text-to-speech results were equivalent in quality to those of synthesis using the acoustic features of the original speech.
Keyword (in Japanese) (See Japanese page) 
(in English) Statistical parametric speech synthesis / End-to-end speech synthesis / Prosodic symbols / Encoder-Decoder model / / / /  
Reference Info. IEICE Tech. Rep., vol. 118, no. 354, SP2018-49, pp. 89-94, Dec. 2018.
Paper # SP2018-49 
Date of Issue 2018-12-03 (SP) 
ISSN Online edition: ISSN 2432-6380
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)
Notes on Review This article is a technical report without peer review, and its polished version will be published elsewhere.
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Conference Information
Conference Date 2018-12-10 - 2018-12-12 
Place (in Japanese) (See Japanese page) 
Place (in English) Waseda Univ. Nishiwaseda Campus 
Topics (in Japanese) (See Japanese page) 
Topics (in English) The 5th Natural Language Processing Symposium & The 20th Spoken Language Symposium 
Paper Information
Registration To SP 
Conference Code 2018-12-NLC-NL-SP-SLP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Evaluation of Japanese end-to-end speech synthesis method inputting kana and prosodic symbols 
Sub Title (in English)  
Keyword(1) Statistical parametric speech synthesis  
Keyword(2) End-to-end speech synthesis  
Keyword(3) Prosodic symbols  
Keyword(4) Encoder-Decoder model  
1st Author's Name Kiyoshi Kurihara  
1st Author's Affiliation Japan Broadcasting Corporation (NHK)
2nd Author's Name Nobumasa Seiyama  
2nd Author's Affiliation Japan Broadcasting Corporation (NHK)
3rd Author's Name Tadashi Kumano  
3rd Author's Affiliation Japan Broadcasting Corporation (NHK)
4th Author's Name Atsushi Imai  
4th Author's Affiliation Japan Broadcasting Corporation (NHK)
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Speaker Author-1 
Date Time 2018-12-10 16:30:00 
Presentation Time 25 minutes 
Registration for SP 
Paper # SP2018-49 
Volume (vol) vol.118 
Number (no) no.354 
Page pp.89-94 
Date of Issue 2018-12-03 (SP) 

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