Blind Source Separation of Non-Stationary Convolutively

This paper proposes a new technique for blind source separation (BSS) in the subband domain using an extended lapped transform (ELT) decomposition for nonstationary, convolutively mixed sig-nals. As identified in [1] the motivation for subband-based BSS is the drawback of frequency domain BSS when dealing with sep-arating mixed speech signals over a few seconds resulting with few samples in individual frequency bins leading to poor sepa-ration performance. In the proposed approach mixed signals are decomposed into subband components by an ELT and within each subband a time domain Newton BSS algorithm is employed based on the nonstationarity property of the input signals and the joint diagonalization of output correlation matrices with time varying second order statistics (SOS). This subband version is compared to a fullband version using the same BSS algorithm. 1