25 search results - page 5 / 5 » Lattice ICA for the separation of speech signals |
ICA
2012
Springer
12 years 1 months ago
2012
Springer
Non-negative spectrogram factorization algorithms such as probabilistic latent component analysis (PLCA) have been shown to be quite powerful for source separation. When training d...
ICA
2007
Springer
13 years 11 months ago
2007
Springer
Discovering a representation that allows auditory data to be parsimoniously represented is useful for many machine learning and signal processing tasks. Such a representation can b...
ICASSP
2009
IEEE
14 years 6 days 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...
ICA
2004
Springer
13 years 11 months ago
2004
Springer
We discuss a 3D spatial analysis of fMRI data taken during a combined word perception and motor task. The event - based experiment was part of a study to investigate the network of...
ICASSP
2011
IEEE
12 years 9 months ago
2011
IEEE
In this paper, minimization of the statistical dependence is exploited for acoustic source localization purposes. Originally developed for the separation of signal mixtures, we sh...