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In this paper, we propose to use the scaling ambiguity of convolutive blind source separation for shortening the unmixing filters. An often used approach for separating convolutive mixtures is the transformation to the time-frequency domain where an instantaneous ICA algorithm can be applied for each frequency separately. This approach leads to the so called permutation and scaling ambiguity. While...
In this paper we present a method for estimating the bin-wise separation performance in convolutive blind source separation. A common way to separate convolutive mixtures is the transformation to the time-frequency domain and the separation of the single bins using an instantaneous ICA algorithm. This approach reduces the complexity but leads to the so-called permutation problem which has been widely...
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