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Paper Abstract and Keywords
Presentation 2013-01-31 14:45
A Study on Style Control Based on Multiple-Regression HSMM for Synthesizing Singing Voices with Various Expressivity
Takashi Nose, Misa Kanemoto, Tomoki Koriyama, Takao Kobayashi (Tokyo Inst. of Tech.) SP2012-111
Abstract (in Japanese) (See Japanese page) 
(in English) This paper proposes a style control technique based on multiple regression HSMM (MRHSMM)
for changing styles and their intensities appearing in synthetic singing voices.
In the proposed technique, styles and their intensities are represented by
low-dimensional vectors called style vectors and are modeled by
an assumption that mean parameters of acoustic models
are given as multiple regressions of the style vectors.
When synthesizing speech, we can weaken or emphasize the intensity of each style
by setting a desired style vector.
In addition, the idea of pitch adaptive training is introduced into the MRHSMM
to improve the modeling accuracy of F0 associated with musical notes.
The novel vibrato modeling technique is also presented to extract
vibrato parameters from singing voices that sometimes have unclear vibrato expressions.
Subjective evaluations show that we can intuitively contorol styles and their intensities
while keeping naturalness of synthetic speech.
Keyword (in Japanese) (See Japanese page) 
(in English) HMM-based singing voice synthesis / HMM-based speech synthesis / style control / multiple-regression HSMM / pitch adaptive training / vibrato modeling / /  
Reference Info. IEICE Tech. Rep., vol. 112, no. 422, SP2012-111, pp. 79-84, Jan. 2013.
Paper # SP2012-111 
Date of Issue 2013-01-23 (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 SP2012-111

Conference Information
Committee SP  
Conference Date 2013-01-30 - 2013-01-31 
Place (in Japanese) (See Japanese page) 
Place (in English) Doshisha Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Speech, Language, and Dialogue, etc. 
Paper Information
Registration To SP 
Conference Code 2013-01-SP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Study on Style Control Based on Multiple-Regression HSMM for Synthesizing Singing Voices with Various Expressivity 
Sub Title (in English)  
Keyword(1) HMM-based singing voice synthesis  
Keyword(2) HMM-based speech synthesis  
Keyword(3) style control  
Keyword(4) multiple-regression HSMM  
Keyword(5) pitch adaptive training  
Keyword(6) vibrato modeling  
Keyword(7)  
Keyword(8)  
1st Author's Name Takashi Nose  
1st Author's Affiliation Tokyo Institute of Technology (Tokyo Inst. of Tech.)
2nd Author's Name Misa Kanemoto  
2nd Author's Affiliation Tokyo Institute of Technology (Tokyo Inst. of Tech.)
3rd Author's Name Tomoki Koriyama  
3rd Author's Affiliation Tokyo Institute of Technology (Tokyo Inst. of Tech.)
4th Author's Name Takao Kobayashi  
4th Author's Affiliation Tokyo Institute of Technology (Tokyo Inst. of Tech.)
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Speaker Author-1 
Date Time 2013-01-31 14:45:00 
Presentation Time 30 minutes 
Registration for SP 
Paper # SP2012-111 
Volume (vol) vol.112 
Number (no) no.422 
Page pp.79-84 
#Pages 6 
Date of Issue 2013-01-23 (SP) 

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