@inproceedings{f8ad9fe403914902be0cf26799771e0c,
title = "Blind source separation with low frequency compensation for convolutive mixtures",
abstract = "This paper addresses the blind source separation of convolutive and temporally correlated voice mixtures. We combine natural gradient algorithm and temporal complexity algorithm to preserve the temporal and frequency structures of the original signals. Due to the underlying scaling constraint of natural gradient algorithm, the low frequency components of theoriginal sources are suppressed in the output signals. To compensate for low frequency loss, we use a measure of temporal complexity to recover the low frequency components of the source signals. Simulation results show that the proposed algorithm can well preserve the structure of the original signals both in time and frequency domains.",
keywords = "Blind source separation, Convolutive mixtures, Linear prediction, Natural gradient algorithm, Temporal complexity",
author = "Xiaoming Zhu and Parhi, {Keshab K.} and Warwick, {Warren J.}",
year = "2009",
month = dec,
day = "1",
doi = "10.1109/ACSSC.2009.5470034",
language = "English (US)",
isbn = "9781424458271",
series = "Conference Record - Asilomar Conference on Signals, Systems and Computers",
pages = "1135--1139",
booktitle = "Conference Record - 43rd Asilomar Conference on Signals, Systems and Computers",
note = "43rd Asilomar Conference on Signals, Systems and Computers ; Conference date: 01-11-2009 Through 04-11-2009",
}