ICA 2007

ICA 2007
7th International Conference on
Independent Component Analysis
and Signal Separation

London, UK        9 - 12 September 2007

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Paper No: 124

Signal Separation by Integrating Adaptive Beamforming with Blind Deconvolution

Author(s): Kostas Kokkinakis, Philipos Loizou

Abstract

In this paper, we present a broadband two-microphone blind spatial separation technique by efficiently combining adaptive beamforming (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 near-anechoic and also highly reverberant enclosures.

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