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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
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Committee Date Time Place Paper Title / Authors Abstract Paper #
NLC, IPSJ-NL, SP, IPSJ-SLP, JSAI-SLUD
(Joint) [detail]		 2014-12-16
11:00		 Kanagawa Tokyo Institute of Technology (Suzukakedai Campus) 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		 Exemplar-based feature enhancement by non-negative matrix factorization (NMF) was proposed for noise-robust speech recog... [more] SP2014-113
pp.69-74
SP, IPSJ-SLP
(Joint)		 2013-07-25
14:10		 Miyagi Soho (togatta spa) Noise reduction based on fragmentary measurement of environmental noise
Kohei Machida, Akinori Ito (Tohoku Univ.) SP2013-53		 We propose a speech recognition method under noisy environments using multiple microphones based on asynchronous and int... [more] SP2013-53
pp.1-6
SP 2011-07-21
15:00		 Hokkaido Jozankei Grand Hotel Construction of Speaker Model Using A New GMM Learning Method Based on Clustering
Masaki Mifune, Motoyuki Suzuki, Fuji Ren, Kenji Kita (Univ. of Tokushima) SP2011-42		 In the speaker identification research fields,
Gaussian Mixture Models (GMM) are widely used as speaker models because ... [more]		 SP2011-42
pp.7-10
PRMU 2011-03-10
11:10		 Ibaraki   Simultaneous Optimization of Context Clustering and GMM for Offline Handwritten Word Recognition Using HMM
Tomoyuki Hamamura (Toshiba/Univ. of Tokyo), Bunpei Irie (Toshiba), Takuya Nishimoto, Nobutaka Ono, Shigeki Sagayama (Univ. of Tokyo) PRMU2010-244		 Context-dependent HMM is commonly used in speech recognition. The model can be realized by two ways: context clustering ... [more] PRMU2010-244
pp.43-48
 Results 1 - 4 of 4  /   
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