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A Post-filtering Algorithm for Crosstalk Subtraction in Blind Speech Separation Outputs

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Abstract

In this paper, exclusive activity periods (EAPs) are used to model crosstalks in which only one blind source separation (BSS) output signal is assumed to be active and the others are inactive. Inactive intervals of each EAP are used to estimate the crosstalk leaked from each active signal using a least squares method. Then, we use the Wiener filter to cancel the estimated crosstalks from BSS outputs. The benefit of using EAPs is to simplify the estimation of crosstalks from all other signals to the estimation of them from just one active signal in each interval. Thus, it leads to estimate and suppress crosstalks more precisely. A comparison of our method with other popular post-processing algorithms is drawn. The results show an improved performance of the proposed method over earlier approaches.

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Authors and Affiliations

  1. University of Sydney, Sydney, Australia

    T. Noohi

  2. Iran University of Science and Technology, Tehran, Iran

    M. H. Kahaei

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  1. T. Noohi
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  2. M. H. Kahaei
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Correspondence to M. H. Kahaei.

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Noohi, T., Kahaei, M.H. A Post-filtering Algorithm for Crosstalk Subtraction in Blind Speech Separation Outputs. Circuits Syst Signal Process 34, 3057–3070 (2015). https://doi.org/10.1007/s00034-015-0001-0

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  • DOI: https://doi.org/10.1007/s00034-015-0001-0

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