DocumentCode :
3595572
Title :
Sparse KPCA for Feature Extraction in Speech Recognition
Author :
Lima, A. ; Zen, H. ; Nankaku, Y. ; Tokuda, K. ; Kitamura, T. ; Resende, F.G.
Author_Institution :
Nagoya Inst. of Technol., Japan
Volume :
1
fYear :
2005
Firstpage :
353
Lastpage :
356
Keywords :
data reduction; feature extraction; learning (artificial intelligence); maximum likelihood estimation; principal component analysis; speech recognition; data reduction; feature extraction; likelihood related re-estimation; sparse KPCA; sparse kernel principal component analysis; speech recognition; training data; Cepstral analysis; Computer science; Data engineering; Feature extraction; Kernel; Mel frequency cepstral coefficient; Principal component analysis; Speech analysis; Speech recognition; Training data;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2005. Proceedings. (ICASSP '05). IEEE International Conference on
ISSN :
1520-6149
Print_ISBN :
0-7803-8874-7
Type :
conf
DOI :
10.1109/ICASSP.2005.1415123
Filename :
1415123
Link To Document :
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