Underdetermined source separation using mixtures of warped laplacians

Authors:
Nikolaos Mitianoudis;Tania Stathaki
Affiliations:
Communications and Signal Processing Group, Imperial College London, London, UK;Communications and Signal Processing Group, Imperial College London, London, UK
Venue:
ICA'07 Proceedings of the 7th international conference on Independent component analysis and signal separation
Year:
2007

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Abstract

In a previous work, the authors have introduced a Mixture of Laplacians model in order to cluster the observed data into the sound sources that exist in an underdetermined two-sensor setup. Since the assumed linear support of the ordinary Laplacian distribution is not valid to model angular quantities, such as the Direction of Arrival to the set of sensors, the authors investigate the performance of a Mixture of Warped Laplacians to perform efficient source separation with promising results.