Noise power spectral density matrix estimation based on modified IMCRA

In this paper, we present a new method for noise power spectral density (PSD) matrix estimation based on IMCRA which consists of two parts. For the auto-PSD (diagonal) estimation, we propose a modification to IMCRA where a special level detector is employed to improve the tracking of non-stationary noise backgrounds. For the cross-PSD (offdiagonal) estimation, we propose to calculate a smoothed cross-periodogram by using estimated noise components derived as residuals after the application of a speech enhancement algorithm on the individual microphone signals. Simulation results show the effectiveness of our proposed approach in estimating the noise PSD matrix and its robustness against reverberation when used in combination with an MVDR-based speech enhancement system.