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ICA
2007
Springer

Signal Separation by Integrating Adaptive Beamforming with Blind Deconvolution

9 years 6 months ago
Signal Separation by Integrating Adaptive Beamforming with Blind Deconvolution
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 nearly anechoic and also highly reverberant enclosures.
Kostas Kokkinakis, Philipos C. Loizou
Added 08 Jun 2010
Updated 08 Jun 2010
Type Conference
Year 2007
Where ICA
Authors Kostas Kokkinakis, Philipos C. Loizou
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