Abstract
In order to improve the speech enhancement ability of FullSubNet model, an improved method FullSubNet-pMix is proposed. Specifically, pMix module is added to the structure of full-band frequency domain information processing, which realizes the information interaction between amplitude spectrum and phase spectrum. At the same time, the hyperparameters used in training are optimized so that the full-band and sub-band structure of the system can play a better role. Experiments are carried out on selected test sets. The experimental results show that the proposed method can independently improve the speech enhancement effect of the model, and the effect on the four evaluation indicators of WB-PESQ, NB-PESQ, STOI, and SI-SDR is better than the original model. Therefore, the FullSubNet-pMix method proposed in this paper can effectively enhance the ability of the model to extract and use voice information. The impact of different loss functions on the training performance was also verified.
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