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arXiv · 2011.01561

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

Andong Li·Chengshi Zheng·Renhua Peng·Xiaodong Li
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Abstract

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

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Andong Li, Chengshi Zheng, Renhua Peng, Xiaodong Li. 2020-11-03. Two Heads Are Better Than One: A Two-Stage Approach for Monaural Noise Reduction in the Complex Domain. https://arxiv.org/abs/2011.01561

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