@inproceedings{049c62a0502a4a0f979327ef7834428e,
title = "Removal of residual crosstalk components in blind source separation using LMS filters",
abstract = "The performance of blind source separation (BSS) using independent component analysis (ICA) declines significantly in a reverberant environment. The degradation is mainly caused by the residual crosstalk components derived from the reverberation of the jammer signal. This paper describes a post-processing method designed to refine output signals obtained by BSS. We propose a new method which uses LMS filters in the frequency domain to estimate the residual crosstalk components in separated signals. The estimated components are removed by non-stational spectral subtraction. The proposed method removes the residual components precisely, thus it compensates for the weakness of BSS in a reverberant environment. Experimental results using speech signals show that the proposed method improves the signal-to-interference ratio by 3 to 5 dB.",
author = "R. Mukai and S. Araki and H. Sawada and S. Makino",
note = "Publisher Copyright: {\textcopyright} 2002 IEEE.; 12th IEEE Workshop on Neural Networks for Signal Processing, NNSP 2002 ; Conference date: 06-09-2002",
year = "2002",
doi = "10.1109/NNSP.2002.1030055",
language = "English",
series = "Neural Networks for Signal Processing - Proceedings of the IEEE Workshop",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "435--444",
editor = "Samy Bengio and Scott Douglas and Tulay Adali and Jan Larsen and Herve Bourlard",
booktitle = "Neural Networks for Signal Processing XII - Proceedings of the 2002 IEEE Signal Processing Society Workshop, NNSP 2002",
}