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ISCAS
2005
IEEE
214views Hardware» more  ISCAS 2005»
15 years 5 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
15 years 4 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
15 years 14 hour 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
14 years 3 months 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
14 years 3 months 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