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Paper Abstract and Keywords
Presentation
A Flexible Temporal Decomposition-based Spectral Modification Method using Asymmetric Gaussian Mixture Model
Binh Phu Nguyen, Masato Akagi (JAIST) SP2007-25
Abstract (in Japanese) (See Japanese page) 
(in English) This paper presents a new spectral modification method to deal with two drawbacks of standard spectral modification methods, insufficient smoothness of the modified spectra between frames and ineffective spectral modification. A speech analysis technique called Temporal Decomposition (TD), which decomposes speech into event targets and event functions, is used to effectively model the spectral evolution. Instead of modifying the speech spectra frame by frame, we only need to modify event targets and event functions. We then proposed a new method to model and modify an event target by using asymmetric Gaussian mixture model (AGMM). Experimental results show that the effectiveness of the proposed spectral modification method is verified in terms of the smoothness of modified speech and effective spectral modification.
Keyword (in Japanese) (See Japanese page) 
(in English) spectral modification / temporal decomposition / asymmetric Gaussian mixture model / STRAIGHT / / / /  
Reference Info. IEICE Tech. Rep., vol. 107, no. 165, SP2007-25, pp. 7-12, July 2007.
Paper # SP2007-25 
Date of Issue  
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 SP2007-25

Conference Information
Committee SP  
Conference Date 2007-07-26 - 2007-07-27 
Place (in Japanese) (See Japanese page) 
Place (in English) Toyama Prefectural University 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Speech Production, Speech Perception, Hearing and Speech, etc. 
Paper Information
Registration To SP 
Conference Code 2007-07-SP 
Language English 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Flexible Temporal Decomposition-based Spectral Modification Method using Asymmetric Gaussian Mixture Model 
Sub Title (in English)  
Keyword(1) spectral modification  
Keyword(2) temporal decomposition  
Keyword(3) asymmetric Gaussian mixture model  
Keyword(4) STRAIGHT  
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1st Author's Name Binh Phu Nguyen  
1st Author's Affiliation Japan Advanced Institute of Science and Technology (JAIST)
2nd Author's Name Masato Akagi  
2nd Author's Affiliation Japan Advanced Institute of Science and Technology (JAIST)
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Registration for SP 
Paper # SP2007-25 
Volume (vol) vol.107 
Number (no) no.165 
Page pp.7-12 
#Pages
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