Two microphones speech enhancement system based on a double fast recursive least squares (DFRLS) algorithm

In this paper a symmetric feedback implementation scheme of a two microphones speech enhancement is presented. We consider the coupling systems modelled as a linear time-invariant Finite Impulse Response (FIR) filters and propose a new recursive-based adaptive filter solution to enhance the noisy speech. The optimum filter weight adaptation is based on a Double Fast Recursive Least Squares (DFRLS) algorithm. This approach can be extended for a subclass of signal separations where the direct link is stronger than the interference link in the both channels. A comparative study with other adaptive algorithms shows the superiority of the DFRLS in SNR performance improvement.