Amaro LIMA


Applying Sparse KPCA for Feature Extraction in Speech Recognition
Amaro LIMA Heiga ZEN Yoshihiko NANKAKU Keiichi TOKUDA Tadashi KITAMURA Fernando G. RESENDE 
Publication:   IEICE TRANSACTIONS on Information and Systems
Publication Date: 2005/03/01
Vol. E88-D  No. 3  pp. 401-409
Type of Manuscript:  Special Section PAPER (Special Section on Corpus-Based Speech Technologies)
Category: Feature Extraction and Acoustic Medelings
Keyword: 
kernelsparsityprincipal component analysisfeature extractionspeech recognition
 Summary | Full Text:PDF(582.4KB)

On the Use of Kernel PCA for Feature Extraction in Speech Recognition
Amaro LIMA Heiga ZEN Yoshihiko NANKAKU Chiyomi MIYAJIMA Keiichi TOKUDA Tadashi KITAMURA 
Publication:   IEICE TRANSACTIONS on Information and Systems
Publication Date: 2004/12/01
Vol. E87-D  No. 12  pp. 2802-2811
Type of Manuscript:  PAPER
Category: Speech and Hearing
Keyword: 
kernelfeature spaceprincipal component analysisfeature extractionspeech recognition
 Summary | Full Text:PDF(425.6KB)