Blind separation of speech target sources using ICA in the frequency domain

This paper describes the blind speech target sources using Independent Component Analysis in the frequency domain. Mixtures are convolutive and the target sources are assumed to be close to sensors and to have non-gaussianity and also we do not have any information about the position and active time of each source. We are going to determine the number of target sources and solving the permutation problem based on basis vector clustering and at the end, extract the target sources in the frequency domain.