Abstract
In this paper, we present a new algorithm for solving the permutation ambiguity in convolutive blind source separation. Transformed to the frequency domain, existing algorithms can efficiently solve the reduction of the source separation problem into independent instantaneous separation in each frequency bin. However this independency leads to the problem of correctly aligning these single bins. The new algorithm models the frequency-domain separated signals by means of the generalized Gaussian distribution and employs the small deviation of the parameters between neighboring bins for the detection of correct permutations. The performance of the algorithm will be demonstrated on synthetic and real-world data.
| Original language | English |
|---|---|
| Article number | 4740156 |
| Journal | IEEE Transactions on Audio, Speech and Language Processing |
| Volume | 17 |
| Issue number | 1 |
| Pages (from-to) | 117-126 |
| Number of pages | 10 |
| ISSN | 1558-7916 |
| DOIs | |
| Publication status | Published - 01.01.2009 |
Funding
Manuscript received December 12, 2007; revised July 17, 2008. Current version published December 11, 2008. This work was supported by the German Research Foundation under Grant ME 1170/1. The associate editor coordinating the review of this manuscript and approving it for publication was Prof. Gael Richard.
