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Paper Abstract and Keywords
Presentation 2014-12-16 11:00
Noise robust speech recognition by non-negative matrix factorization using GMM clustering in MFCC domain
Kentaro Fujigaki, Yosuke Kashiwagi, Daisuke Saito, Nobuaki Minematsu, Keikichi Hirose (Univ. of Tokyo) SP2014-113
Abstract (in Japanese) (See Japanese page) 
(in English) Exemplar-based feature enhancement by non-negative matrix factorization (NMF) was proposed for noise-robust speech recognition. When we consider only additive noises, we can decompose a noisy speech spectrum into a linear but sparse combination of speech and noise bases. In the conventional NMF, decomposition is unsupervised. If we can give the phoneme sequence of an input utterance to the NMF processing, it is surely possible to realize much more precise decomposition. However, in the task of speech recognition, the phoneme sequence is unknown and unavailable. In this paper, therefore, we introduce unsupervised GMM clustering and classify each input frame by using GMM indexes. For NMF, speech bases are built separately for each GMM index. Experiments show that our proposed method of combining NMF with GMM clustering gives higher robustness of recognizing noisy speech than the original NMF.
Keyword (in Japanese) (See Japanese page) 
(in English) robust speech recognition / noise surpression / feature enhancement / NMF / GMM clustering / / /  
Reference Info. IEICE Tech. Rep., vol. 114, no. 365, SP2014-113, pp. 69-74, Dec. 2014.
Paper # SP2014-113 
Date of Issue 2014-12-08 (SP) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
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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)
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Conference Information
Committee NLC IPSJ-NL SP IPSJ-SLP JSAI-SLUD  
Conference Date 2014-12-15 - 2014-12-17 
Place (in Japanese) (See Japanese page) 
Place (in English) Tokyo Institute of Technology (Suzukakedai Campus) 
Topics (in Japanese) (See Japanese page) 
Topics (in English) The 6th Symposium on Collective Knowlege 
Paper Information
Registration To SP 
Conference Code 2014-12-NLC-NL-SP-SLP-SLUD 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Noise robust speech recognition by non-negative matrix factorization using GMM clustering in MFCC domain 
Sub Title (in English)  
Keyword(1) robust speech recognition  
Keyword(2) noise surpression  
Keyword(3) feature enhancement  
Keyword(4) NMF  
Keyword(5) GMM clustering  
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Keyword(8)  
1st Author's Name Kentaro Fujigaki  
1st Author's Affiliation The University of Tokyo (Univ. of Tokyo)
2nd Author's Name Yosuke Kashiwagi  
2nd Author's Affiliation The University of Tokyo (Univ. of Tokyo)
3rd Author's Name Daisuke Saito  
3rd Author's Affiliation The University of Tokyo (Univ. of Tokyo)
4th Author's Name Nobuaki Minematsu  
4th Author's Affiliation The University of Tokyo (Univ. of Tokyo)
5th Author's Name Keikichi Hirose  
5th Author's Affiliation The University of Tokyo (Univ. of Tokyo)
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Speaker Author-1 
Date Time 2014-12-16 11:00:00 
Presentation Time 90 minutes 
Registration for SP 
Paper # SP2014-113 
Volume (vol) vol.114 
Number (no) no.365 
Page pp.69-74 
#Pages
Date of Issue 2014-12-08 (SP) 


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