A second-order-statistics-based solution for online multichannel noise tracking and reduction

We propose a second-order-statistics-based approach to online multichannel noise tracking and reduction. We combine the multichannel speech presence probability (MC-SPP) that we proposed in with an alternative formulation of the minima-controlled recursive averaging (MCRA) technique that we generalize from the single- to the multichannel case. Then, we demonstrate the effectiveness of the proposed MC-SPP and multichannel noise estimator by integrating them into variants of the multichannel noise-reduction Wiener filter.