@inproceedings{84735cebe30e4119844769b2fc0685c7,
title = "Does dereverberation help multichannel source separation? A case study",
abstract = "Multichannel blind source separation performances rapidly degrade when the mixtures are highly reverberated. In fact, blind source separation algorithms usually focus on the separation task without dealing with the dereverberation problem. Some recent studies attempted to reduce the reverberation by introducing a dereverberation module before or after the blind source separation but only limited success was obtained in improving the separation performance in highly reverberant rooms. In this article, we conduct a number of experiments combining state of the art spectral enhancement-based dereverberation and source separation algorithms showing that, in this particular case, speech enhancement does not improve the performance of blind source separation.",
keywords = "Blind source separation, microphone array, spectral subtraction, speech dereverberation",
author = "Nicolas Lopez and Mounira Maazaoui and Yves Grenier and Gael Richard and Ivan Bourmeyster",
year = "2013",
month = jan,
day = "1",
language = "English",
isbn = "9780992862602",
series = "European Signal Processing Conference",
publisher = "European Signal Processing Conference, EUSIPCO",
booktitle = "2013 Proceedings of the 21st European Signal Processing Conference, EUSIPCO 2013",
note = "2013 21st European Signal Processing Conference, EUSIPCO 2013 ; Conference date: 09-09-2013 Through 13-09-2013",
}