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 nearly anechoic and also highly reverberant enclosures.
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Kokkinakis, K., Loizou, P.C. (2007). Signal Separation by Integrating Adaptive Beamforming with Blind Deconvolution. In: Davies, M.E., James, C.J., Abdallah, S.A., Plumbley, M.D. (eds) Independent Component Analysis and Signal Separation. ICA 2007. Lecture Notes in Computer Science, vol 4666. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74494-8_62
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DOI: https://doi.org/10.1007/978-3-540-74494-8_62
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-74493-1
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