Signal separation by integrating adaptive beamforming with blind deconvolution

Authors:
Kostas Kokkinakis;Philipos C. Loizou
Affiliations:
Center for Robust Speech Systems, Department of Electrical Engineering, University of Texas at Dallas, Richardson, TX;Center for Robust Speech Systems, Department of Electrical Engineering, University of Texas at Dallas, Richardson, TX
Venue:
ICA'07 Proceedings of the 7th international conference on Independent component analysis and signal separation
Year:
2007

Citing 4
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Abstract

In this paper, we present a broadband two-microphone blind spatial separation technique by efficiently combining adaptive beam-forming (ABF) with multichannel blind deconvolution (MBD). First, the inaccessible source signal streams are partially identified by simple time-delay steering and then are spatially separated through an MBD structure. The proposed spatio-temporal ABF-MBD algorithm exhibits fast convergence properties and high computational efficiency. Numerical experiments illustrate the practical appeal of the proposed method in separating convolutive mixtures of speech within nearly anechoic and also highly reverberant enclosures.