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Paper Abstract and Keywords
Presentation 2018-12-13 14:30
Improvement of noisy speech recognition performance by using hierarchical cluster analysis in multi-channel non-negative matrix factorization
Taiki Izumi, Takanobu Uramoto, Shingo Uenohara, Ken'ichi Furuya (Oita Univ.)
Abstract (in Japanese) (See Japanese page) 
(in English) (Not available yet)
Keyword (in Japanese) (See Japanese page) 
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Reference Info. IEICE Tech. Rep., vol. 118, no. 357, EA2018-84, pp. 21-26, Dec. 2018.
Paper # EA2018-84 
Date of Issue 2018-12-06 (EA) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380

Conference Information
Committee EA  
Conference Date 2018-12-13 - 2018-12-14 
Place (in Japanese) (See Japanese page) 
Place (in English) kyushu Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Engineering/Electro Acoustics, and Related Topics 
Paper Information
Registration To EA 
Conference Code 2018-12-EA 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Improvement of noisy speech recognition performance by using hierarchical cluster analysis in multi-channel non-negative matrix factorization 
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1st Author's Name Taiki Izumi  
1st Author's Affiliation Oita University (Oita Univ.)
2nd Author's Name Takanobu Uramoto  
2nd Author's Affiliation Oita University (Oita Univ.)
3rd Author's Name Shingo Uenohara  
3rd Author's Affiliation Oita University (Oita Univ.)
4th Author's Name Ken'ichi Furuya  
4th Author's Affiliation Oita University (Oita Univ.)
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Speaker
Date Time 2018-12-13 14:30:00 
Presentation Time 25 
Registration for EA 
Paper # IEICE-EA2018-84 
Volume (vol) IEICE-118 
Number (no) no.357 
Page pp.21-26 
#Pages IEICE-6 
Date of Issue IEICE-EA-2018-12-06 


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