Title :
Does dereverberation help multichannel source separation? A case study
Author :
Lopez, Nancy ; Maazaoui, Mounira ; Grenier, Yves ; Richard, Guilhem ; Bourmeyster, Ivan
Author_Institution :
Inst. Mines-Telecom, Telecom ParisTech, Paris, France
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 :
acoustic signal processing; blind source separation; microphone arrays; reverberation; speech enhancement; microphone array; multichannel acoustic scene analysis context; multichannel blind source separation; reverberation reduction; separation performance improvement; separation task; spectral enhancement-based dereverberation; speech dereverberation; Arrays; Blind source separation; Channel estimation; Microphones; Reverberation; Speech; Blind source separation; microphone array; spectral subtraction; speech dereverberation;
Conference_Titel :
Signal Processing Conference (EUSIPCO), 2013 Proceedings of the 21st European
Conference_Location :
Marrakech