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Paper Abstract and Keywords
Presentation 2010-12-21 16:40
Iterative basis generation and supervised non-negative matrix factorization for signal analysis
Toru Nakashika, Tetsuya Takiguchi, Yasuo Ariki (Kobe Univ.)
Abstract (in Japanese) (See Japanese page) 
(in English) NMF (Non-negative Matrix Factorization) has been one of the most useful techniques for signal analysis in recent years.
In particular, exemplar-based NMF, in which a large number of samples are used for analyzing a signal,
is garnering much attention in sound source separation or noise reduction research.
However, because such methods require all the possible samples for the analysis,
it is hard to build the practical system of the method.
In this paper, we propose a novel method of signal analysis by combining NMF and probabilistic approach.
At the beginning, a representative basis vector, called a probabilistic spectrum envelope,
is learned for each categories by use of Gaussian Process.
On the analyzing stage, basis vectors of NMF are randomly generated from the probabilistic spectrum envelope.
Experimental results indicated the validity of the proposed method.
Keyword (in Japanese) (See Japanese page) 
(in English) Signal analysis / NMF / Exemplar-based / Probabilistic spectrum envelope / Gaussian process / / /  
Reference Info. IEICE Tech. Rep., vol. 110, no. 357, SP2010-102, pp. 195-200, Dec. 2010.
Paper # SP2010-102 
Date of Issue 2010-12-13 (NLC, SP) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380

Conference Information
Committee NLC SP  
Conference Date 2010-12-20 - 2010-12-21 
Place (in Japanese) (See Japanese page) 
Place (in English) National Olympics Memorial Youth Center 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Information Access, Speech and Language Processing, etc. 
Paper Information
Registration To SP 
Conference Code 2010-12-NLC-SP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Iterative basis generation and supervised non-negative matrix factorization for signal analysis 
Sub Title (in English)  
Keyword(1) Signal analysis  
Keyword(2) NMF  
Keyword(3) Exemplar-based  
Keyword(4) Probabilistic spectrum envelope  
Keyword(5) Gaussian process  
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1st Author's Name Toru Nakashika  
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
Date Time 2010-12-21 16:40:00 
Presentation Time 90 
Registration for SP 
Paper # IEICE-NLC2010-29,IEICE-SP2010-102 
Volume (vol) IEICE-110 
Number (no) no.356(NLC), no.357(SP) 
Page pp.195-200 
#Pages IEICE-6 
Date of Issue IEICE-NLC-2010-12-13,IEICE-SP-2010-12-13 


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