147 search results - page 1 / 30 » Independent component analysis for noisy speech recognition |
ICASSP
2009
IEEE
13 years 11 months ago
2009
IEEE
Independent component analysis (ICA) is not only popular for blind source separation but also for unsupervised learning when the observations can be decomposed into some independe...
ICASSP
2008
IEEE
13 years 11 months ago
2008
IEEE
Independent component analysis (ICA) is a popular approach for blind source separation (BSS). In this study, we develop a new mutual information measure for BSS and unsupervised l...
NAACL
1994
13 years 5 months ago
1994
A new mapping algorithm for speech recognition relates the features of simultaneous recordings of clean and noisy speech. The model is a piecewise nonfinear transformation appfied...
ICMCS
2006
IEEE
13 years 10 months ago
2006
IEEE
This paper presents an emotion recognition system from clean and noisy speech. Geodesic distance was adopted to preserve the intrinsic geometry of emotional speech. Based on the g...
NN
2000
Springer
13 years 4 months ago
2000
Springer
ICA (independent component analysis) is a new, simple and powerful idea for analyzing multi-variant data. One of the successful applications is neurobiological data analysis such ...