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Paper Abstract and Keywords
Presentation 2015-12-02 10:25
Simultaneous Modelling of Acoustic, Phonetic, Speaker Features Using Improved Three-Way Restricted Boltzmann Machine
Toru Nakashika (UEC), Tetsuya Takiguchi (Kobe Univ.) SP2015-71
Abstract (in Japanese) (See Japanese page) 
(in English) In this paper, we argue the way of modelling speech signals using improved three-way restricted Boltzmann machine (3WRBM) where acoustic features, latent phonological features, and speaker-identity features are considered. The 3WRBM is an energy-based probabilistic model that includes three kinds of potentials: unary potentials of each variable, pairwise potentials of every two variables, and three-way potentials of the three variables. In our approach, we design the three-way potentials properly in the speaker-adaptive training (SAT) manner. The optimized model captures the relationships between the variables, enables to compute conditional probabilities of each variables, and is appliable to many tasks in speech signal processing. For example, estimating speaker-identity features given acoustic features is used for speaker recognition. Another example is estimating acoustic features from the phonological features that are estimated given source speaker's acoustic features and the desired speaker-identity features; that is voice conversion. In our experiments, we evaluate the effectiveness of the speech modelling through a voice conversion task and a speaker recognition task.
Keyword (in Japanese) (See Japanese page) 
(in English) speech modelling / restricted Boltzmann machine / speaker-adaptive training / speaker recognition / voice conversion / / /  
Reference Info. IEICE Tech. Rep., vol. 115, no. 346, SP2015-71, pp. 7-12, Dec. 2015.
Paper # SP2015-71 
Date of Issue 2015-11-25 (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)
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
Committee NLC IPSJ-NL SP IPSJ-SLP  
Conference Date 2015-12-02 - 2015-12-04 
Place (in Japanese) (See Japanese page) 
Place (in English) Nagoya Inst of Tech. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) The Second Natural Language Processing Symposium & The 17th Spoken Language Symposium 
Paper Information
Registration To SP 
Conference Code 2015-12-NLC-NL-SP-SLP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Simultaneous Modelling of Acoustic, Phonetic, Speaker Features Using Improved Three-Way Restricted Boltzmann Machine 
Sub Title (in English)  
Keyword(1) speech modelling  
Keyword(2) restricted Boltzmann machine  
Keyword(3) speaker-adaptive training  
Keyword(4) speaker recognition  
Keyword(5) voice conversion  
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1st Author's Name Toru Nakashika  
1st Author's Affiliation The University of Electro-Communications (UEC)
2nd Author's Name Tetsuya Takiguchi  
2nd Author's Affiliation Kobe University (Kobe Univ.)
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Speaker Author-1 
Date Time 2015-12-02 10:25:00 
Presentation Time 25 minutes 
Registration for SP 
Paper # SP2015-71 
Volume (vol) vol.115 
Number (no) no.346 
Page pp.7-12 
#Pages 6 
Date of Issue 2015-11-25 (SP) 

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