An Approach for Solving the Permutation Problem of Convolutive Blind Source Separation Based on Statistical Signal Models

Authors:
R. Mazur;A. Mertins
Affiliations:
Inst. for Signal Process., Univ. of Lubeck, Lubeck;-
Venue:
IEEE Transactions on Audio, Speech, and Language Processing
Year:
2009

Citing 0
Cited 3

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Use of bimodal coherence to resolve the permutation problem in convolutive BSS

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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.