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ISCAS
2005
IEEE
214views Hardware» more  ISCAS 2005»
14 years 2 months ago
Blind separation of statistically independent signals with mixed sub-Gaussian and super-Gaussian probability distributions
— In the context of Independent Component Analysis (ICA), we propose a simple method for online estimation of activation functions in order to blindly separate instantaneous mixt...
Muhammad Tufail, Masahide Abe, Masayuki Kawamata
WAA
2001
Springer
14 years 1 months ago
Skewness of Gabor Wavelets and Source Signal Separation
Responses of Gabor wavelets in the mid-frequency space build a local spectral representation scheme with optimal properties regarding the time-frequency uncertainty principle. How...
Weichuan Yu, Gerald Sommer, Konstantinos Daniilidi...
ICASSP
2010
IEEE
13 years 9 months ago
Reverberated speech signal separation based on regularized subband feedforward ICA and instantaneous direction of arrival
In this paper, independent component analysis (ICA) in a subband domain has been extended into a feed-forward network. The feed-forward network maximizes mutual independence of se...
Lae-Hoon Kim, Ivan Tashev, Alex Acero
ICASSP
2011
IEEE
13 years 17 days ago
Combining monaural source separation with Long Short-Term Memory for increased robustness in vocalist gender recognition
We present a novel and unique combination of algorithms to detect the gender of the leading vocalist in recorded popular music. Building on our previous successful approach that e...
Felix Weninger, Jean-Louis Durrieu, Florian Eyben,...
ICASSP
2011
IEEE
13 years 17 days ago
Distributed blind source separation with an application to audio signals
A scalable blind source separation paradigm aimed at sensor networks is described. The approach facilitates an unlimited number of sensors and sources and does not require a fusio...
Yusuke Hioka, W. Bastiaan Kleijn