Reducing reverberation effects in convolutive blind source separation

Radoslaw Mazur, Alfred Mertins


In this paper, we propose a new method for reducing the reverberation effects in convolutive blind source separation which lead to reduced intelligibility of the separated sources (e.g., speech signals). The existing methods mainly try to maximize the separating performance without paying much attention to the linear distortion in the separated signals. We propose a modification to the existing algorithms that reduces the distortions introduced by the demixing filters. In particular we investigate the possibilities of modifying the frequency responses of the demixing filters to have no spectral peaks, which leads to near allpass character of the overall system. The good performance of the modified algorithm will be demonstrated on real-world data.

Original languageEnglish
Title of host publication2006 14th European Signal Processing Conference
Number of pages5
Publication date01.12.2006
Publication statusPublished - 01.12.2006
Event14th European Signal Processing Conference - Florence, Italy
Duration: 04.09.200608.09.2006
Conference number: 90688


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