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.
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