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» A Constraint Learning Algorithm for Blind Source Separation
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ICASSP
2009
IEEE
14 years 2 months ago
A variational EM algorithm for learning eigenvoice parameters in mixed signals
We derive an efficient learning algorithm for model-based source separation for use on single channel speech mixtures where the precise source characteristics are not known a pri...
Ron J. Weiss, Daniel P. W. Ellis
ICASSP
2008
IEEE
14 years 2 months ago
Sigma-delta resolution enhancement for far-field acoustic source separation
Many source separation algorithms fail to deliver robust performance when applied to signals recorded using highdensity microphone arrays where distance between sensor elements is...
Amin Fazel, Shantanu Chakrabartty
ICASSP
2011
IEEE
12 years 11 months ago
Multichannel harmonic and percussive component separation by joint modeling of spatial and spectral continuity
This paper considers the blind separation of the harmonic and percussive components of multichannel music signals. We model the contribution of each source to all mixture channels...
Ngoc Q. K. Duong, Hideyuki Tachibana, Emmanuel Vin...
TASLP
2010
142views more  TASLP 2010»
13 years 2 months ago
Beyond the Narrowband Approximation: Wideband Convex Methods for Under-Determined Reverberant Audio Source Separation
We consider the problem of extracting the source signals from an under-determined convolutive mixture assuming known mixing filters. State-of-the-art methods operate in the time-fr...
M. Kowalski, Emmanuel Vincent, Rémi Gribonv...
ICASSP
2010
IEEE
13 years 2 months ago
Modified hierarchical clustering for sparse component analysis
The under-determined blind source separation (BSS) problem is usually solved using the sparse component analysis (SCA) technique. In SCA, the BSS is usually solved in two steps, w...
Nasser Mourad, James P. Reilly