Multisource MINT Using the Convolutive Transfer Function

Xiaofei Li 1 Sharon Gannot 2 Laurent Girin 3, 1 Radu Horaud 1
1 PERCEPTION - Interpretation and Modelling of Images and Videos
Inria Grenoble - Rhône-Alpes, LJK - Laboratoire Jean Kuntzmann, INPG - Institut National Polytechnique de Grenoble
3 GIPSA-CRISSP - CRISSP
GIPSA-DPC - Département Parole et Cognition
Abstract : 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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Communication dans un congrès
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2018), Apr 2018, Calgary, Alberta, Canada. ICASSP 2018 - Proceedings
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Dernière modification le : vendredi 27 juillet 2018 - 11:15:48
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Xiaofei Li, Sharon Gannot, Laurent Girin, Radu Horaud. Multisource MINT Using the Convolutive Transfer Function. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2018), Apr 2018, Calgary, Alberta, Canada. ICASSP 2018 - Proceedings. 〈hal-01718106〉

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