Permutation correction in the frequency domain in blind separation of speech mixtures
EURASIP Journal on Applied Signal Processing
Real-time independent vector analysis for convolutive blind source separation
IEEE Transactions on Circuits and Systems Part I: Regular Papers
ICA'06 Proceedings of the 6th international conference on Independent Component Analysis and Blind Signal Separation
Modulation domain blind speech separation in noisy environments
Speech Communication
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Two array signal processing techniques are combined with independent component analysis to enhance the performance of blind separation of acoustic signals in a reflective environment such as rooms. The first technique is the subspace method which reduces the effect of room reflection. The second technique is a method of solving the permutation, in which the coherency of the mixing matrix in adjacent frequencies is utilized.