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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 frequency-domain separated signals using the generalized Gaussian distribution and utilizes the small deviation of the exponent between neighboring bins for the detection of correct permutations.
|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|
|Place of Publication||Berlin, Heidelberg|
|Publisher||Springer Berlin Heidelberg|
|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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- 1 Finished
Mertins, A. & Kollmeier, B.
01.01.04 → 31.12.08
Project: DFG Projects › DFG Individual Projects