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Paper Abstract and Keywords
Presentation 2013-12-19 16:25
Voice Conversion for Articulation Disorders Using Dictionary Selective Non-negative Matrix Factorization
Ryo Aihara, Tetsuya Takiguchi, Yasuo Ariki (Kobe Univ.) SP2013-86
Abstract (in Japanese) (See Japanese page) 
(in English) We present in this paper a voice conversion (VC) method for a person with an articulation disorder resulting from athetoid cerebral palsy. The movement of such speakers is limited by their athetoid symptoms, and
their consonants are often unstable or unclear, which makes it difficult for them to communicate. In our previous method, exemplar-based spectral conversion using Non-negative Matrix Factorization (NMF) was applied to a voice with an articulation disorder. To preserve the speaker’s individuality, we used a combined dictionary that is constructed
from the source speaker’s vowels and target speaker’s consonants. However, this exemplar-based approach needs to hold all the training exemplars (frames), and it may cause mismatching of phonemes between input signals and selected exemplars. In this paper, in order to reduce the mismatching of phoneme alignment, we propose a phoneme-categorized sub-dictionary and a dictionary selection method using NMF. By using the sub-dictionary, the performance of VC is improved compared to a conventional NMF-based VC. The effectiveness of this method was confirmed by comparing its effectiveness with that of a conventional Gaussian Mixture Model (GMM)-based
method and a conventional NMF-based method.
Keyword (in Japanese) (See Japanese page) 
(in English) Voice Conversion / Articulation Disorders / Asistive Technology / Non-negative Matrix Factorization / Sub-dictionary / / /  
Reference Info. IEICE Tech. Rep., vol. 113, no. 366, SP2013-86, pp. 71-76, Dec. 2013.
Paper # SP2013-86 
Date of Issue 2013-12-12 (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 SP2013-86

Conference Information
Committee SP IPSJ-SLP  
Conference Date 2013-12-19 - 2013-12-20 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English) 15th Symposium on Spoken Language 
Paper Information
Registration To SP 
Conference Code 2013-12-SP-SLP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Voice Conversion for Articulation Disorders Using Dictionary Selective Non-negative Matrix Factorization 
Sub Title (in English)  
Keyword(1) Voice Conversion  
Keyword(2) Articulation Disorders  
Keyword(3) Asistive Technology  
Keyword(4) Non-negative Matrix Factorization  
Keyword(5) Sub-dictionary  
Keyword(6)  
Keyword(7)  
Keyword(8)  
1st Author's Name Ryo Aihara  
1st Author's Affiliation Kobe University (Kobe Univ.)
2nd Author's Name Tetsuya Takiguchi  
2nd Author's Affiliation Kobe University (Kobe Univ.)
3rd Author's Name Yasuo Ariki  
3rd Author's Affiliation Kobe University (Kobe Univ.)
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Speaker Author-1 
Date Time 2013-12-19 16:25:00 
Presentation Time 25 minutes 
Registration for SP 
Paper # SP2013-86 
Volume (vol) vol.113 
Number (no) no.366 
Page pp.71-76 
#Pages 6 
Date of Issue 2013-12-12 (SP) 

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