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Multisource MINT Using the Convolutive Transfer Function

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The multichannel inverse filtering method, i.e. multiple in-put/output inverse theorem (MINT), is widely used. However, it is usually performed in the time domain, and based on the long room impulse responses, thus it has a high computational complexity and a large number of near-common zeros. In this paper, we propose to perform MINT in the short-time Fourier transform (STFT) domain, in which the time-domain filter is approximated by the convolutive transfer function. The oversampled STFT is used to avoid frequency aliasing, which however leads to a common zero region in the subband frequency response due to the frequency response of the STFT window. A new inverse filtering target function concerning the STFT window is proposed to overcome this problem. In addition, unlike most studies using MINT for single source dereverberation, the multisource MINT is proposed for both source separation and dereverberation.
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Dates and versions

hal-01718106 , version 1 (27-02-2018)



Xiaofei Li, Sharon Gannot, Laurent Girin, Radu Horaud. Multisource MINT Using the Convolutive Transfer Function. ICASSP 2018 - IEEE International Conference on Acoustics, Speech and Signal Processing, Apr 2018, Calgary, Alberta, Canada. pp.756-760, ⟨10.1109/ICASSP.2018.8462607⟩. ⟨hal-01718106⟩
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