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In low signal-to-noise ratio conditions, it is difficult to effectivelyrecover the magnitude and phase information simultaneously. To address thisproblem, this paper proposes a two-stage algorithm to decouple the jointoptimization problem w.r.t. magnitude and phase into two sub-tasks. In thefirst stage, only magnitude is optimized, which incorporates noisy phase toobtain a coarse complex clean speech spectrum estimation. In the second stage,both the magnitude and phase components are refined. The experiments areconducted on the WSJ0-SI84 corpus, and the results show that the proposedapproach significantly outperforms previous baselines in terms of PESQ, ESTOI,and SDR.

Two Heads Are Better Than One: A Two-Stage Approach for Monaural Noise Reduction in the Complex Domain