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Paper Abstract and Keywords
Presentation 2014-12-16 11:00
HMM-Based Speech Synthesis System with Prosody Modification Based on Speech Input
Yuri Nishigaki, Shinnosuke Takamichi, Tomoki Toda, Graham Neubig, Sakriani Sakti, Satoshi Nakamura (NAIST) SP2014-115
Abstract (in Japanese) (See Japanese page) 
(in English) As a creative activity using speech synthesis technologies has been grown rapidly, it is desired to develop an interface to synthesize speech of a specific target speaker as users want. In this report, we propose a prosody modification method using user's speech inputs in HMM-based speech synthesis system in order to achieve high-quality and expressive speech synthesis. The propose method allows users to guide prosody of synthetic speech of the target speaker by using their own voices while preserving original functions of the HMM-based speech synthesis system as a text-to-speech synthesis system. Both duration information of the input speech extracted by performing HMM state alignment and F0 patterns of the input speech are effectively used to control the duration and F0 patterns of synthetic speech of the target speaker. To alleviate the degradation of naturalness caused by prosodic mismatches between the input speech and the synthetic speech, we investigate an appropriate unit for
the HMM state alignment, model adaptation for building an HMM used for the alignment, and correction of unvoiced/voiced information. Experimental evaluations are conducted for multiple input speakers, which demonstrates the effectiveness of the proposed method.
Keyword (in Japanese) (See Japanese page) 
(in English) HMM-based speech synthesis / prosody modification / alignment unit / model adaptation / unvoiced/voiced information / / /  
Reference Info. IEICE Tech. Rep., vol. 114, no. 365, SP2014-115, pp. 81-86, Dec. 2014.
Paper # SP2014-115 
Date of Issue 2014-12-08 (SP) 
ISSN Print edition: ISSN 0913-5685    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 NLC IPSJ-NL SP IPSJ-SLP JSAI-SLUD  
Conference Date 2014-12-15 - 2014-12-17 
Place (in Japanese) (See Japanese page) 
Place (in English) Tokyo Institute of Technology (Suzukakedai Campus) 
Topics (in Japanese) (See Japanese page) 
Topics (in English) The 6th Symposium on Collective Knowlege 
Paper Information
Registration To SP 
Conference Code 2014-12-NLC-NL-SP-SLP-SLUD 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) HMM-Based Speech Synthesis System with Prosody Modification Based on Speech Input 
Sub Title (in English)  
Keyword(1) HMM-based speech synthesis  
Keyword(2) prosody modification  
Keyword(3) alignment unit  
Keyword(4) model adaptation  
Keyword(5) unvoiced/voiced information  
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Keyword(8)  
1st Author's Name Yuri Nishigaki  
1st Author's Affiliation NARA INSTITUTE of SCIENCE and TECHNOLOGY (NAIST)
2nd Author's Name Shinnosuke Takamichi  
2nd Author's Affiliation NARA INSTITUTE of SCIENCE and TECHNOLOGY (NAIST)
3rd Author's Name Tomoki Toda  
3rd Author's Affiliation NARA INSTITUTE of SCIENCE and TECHNOLOGY (NAIST)
4th Author's Name Graham Neubig  
4th Author's Affiliation NARA INSTITUTE of SCIENCE and TECHNOLOGY (NAIST)
5th Author's Name Sakriani Sakti  
5th Author's Affiliation NARA INSTITUTE of SCIENCE and TECHNOLOGY (NAIST)
6th Author's Name Satoshi Nakamura  
6th Author's Affiliation NARA INSTITUTE of SCIENCE and TECHNOLOGY (NAIST)
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Speaker Author-1 
Date Time 2014-12-16 11:00:00 
Presentation Time 90 minutes 
Registration for SP 
Paper # SP2014-115 
Volume (vol) vol.114 
Number (no) no.365 
Page pp.81-86 
#Pages
Date of Issue 2014-12-08 (SP) 


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