9 Blind Signal Separation
Xian‐Da Zhang · 2022
Blind Signal Separation is the task of separating signals when only their mixtures are observed. Recently, Independent Component Analysis has become a favourite method of researchers for attacking this problem. We review the techniques, from cumulant-based algorithms to Infomax to second-order statistics, from feedback to feedforward architectures, from the instantaneous to the convolutional problem. A new method for reducing the whitening effect on speech, known to occur in feedforward architectures, is introduced. The procedure also possesses significant stabilization properties, being based on performing the filter update in the LP-residual domain of speech. Experimental tests are conducted, and the algorithms compared. Blind Signal Separation 3