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Abstract
This paper presents a new algorithm for solving the permutation ambiguity in convolutive blind source separation. When transformed to the frequency domain, the source separation problem reduces to independent instantaneous separation in each frequency bin, which can be efficiently solved by existing algorithms. But this independency leads to the problem of correct alignment of these single bins which is still not entirely solved. The algorithm proposed in this paper models the frequencydomain separated signals using the generalized Gaussian distribution and utilizes the small deviation of the exponent between neighboring bins for the detection of correct permutations.
Original language  English 

Title of host publication  Independent Component Analysis and Signal Separation 
Editors  Mike E. Davies, Christopher J. James, Samer A. Abdallah, Mark D. Plumbley 
Number of pages  8 
Volume  4666 LNCS 
Place of Publication  Berlin, Heidelberg 
Publisher  Springer Berlin Heidelberg 
Publication date  01.09.2007 
Pages  512519 
ISBN (Print)  9783540744931 
ISBN (Electronic)  9783540744948 
DOIs  
Publication status  Published  01.09.2007 
Event  7th International Conference on Independent Component Analysis (ICA) and Source Separation  London, United Kingdom Duration: 09.09.2007 → 12.09.2007 Conference number: 70941 
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Dive into the research topics of 'Solving the Permutation Problem in Convolutive Blind Source Separation'. Together they form a unique fingerprint.Projects
 1 Finished

Blind separation of acoustic source signals in a reflective environment
Mertins, A. & Kollmeier, B.
01.01.04 → 31.12.08
Project: DFG Projects › DFG Individual Projects