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Paper Abstract and Keywords
Presentation 2014-11-14 10:55
Design of control parameters for voice quality control based on multiple-regression Gaussian mixture model
Kazutaka Kubo, Kazuhiro Kobayashi, Tomoki Toda, Graham Neubig, Sakriani Sakti, Satoshi Nakamura (NAIST) SP2014-101
Abstract (in Japanese) (See Japanese page) 
(in English) This report presents a method for designing control parameters in statistical voice quality control. As a method for intuitively controlling converted voice quality, a voice quality control method based on multiple-regression Gaussian mixture model (MR-GMM) was proposed. In this method, perceptual scores corresponding to voice quality expression words are manually assigned to individual pre-stored target speakers for statistically modeling a correspondence between acoustic features and the perceptual scores. Therefore, performance of voice quality control highly depends on a selection of voice quality expression words and accuracy of the perceptual score assignment. In this report, towards better voice quality control using multiple voice quality expression words, we propose a method for selecting voice quality expression words and assigning corresponding perceptual scores considering both independency of perceptual scores and independency of acoustic features corresponding to them in the MR-GMM. Experimental results show that the performance of voice quality control is significantly improved by the proposed method.
Keyword (in Japanese) (See Japanese page) 
(in English) voice quality control / voice quality expression words / perceptual scores / multiple regression Gaussian mixture model / independency / / /  
Reference Info. IEICE Tech. Rep., vol. 114, no. 303, SP2014-101, pp. 65-70, Nov. 2014.
Paper # SP2014-101 
Date of Issue 2014-11-06 (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 SP2014-101

Conference Information
Committee SP  
Conference Date 2014-11-13 - 2014-11-14 
Place (in Japanese) (See Japanese page) 
Place (in English) Kyushu Univ. Chikushi Campus 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To SP 
Conference Code 2014-11-SP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Design of control parameters for voice quality control based on multiple-regression Gaussian mixture model 
Sub Title (in English)  
Keyword(1) voice quality control  
Keyword(2) voice quality expression words  
Keyword(3) perceptual scores  
Keyword(4) multiple regression Gaussian mixture model  
Keyword(5) independency  
Keyword(6)  
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Keyword(8)  
1st Author's Name Kazutaka Kubo  
1st Author's Affiliation Nara institute of science and technology (NAIST)
2nd Author's Name Kazuhiro Kobayashi  
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 2014-11-14 10:55:00 
Presentation Time 25 minutes 
Registration for SP 
Paper # SP2014-101 
Volume (vol) vol.114 
Number (no) no.303 
Page pp.65-70 
#Pages 6 
Date of Issue 2014-11-06 (SP) 

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