DMFNet: A Novel Self-Supervised Dynamic Multi-Focusing Network for Speech Denoising
In recent years, speech denoising has greatly benefited from the rapid development of neural networks.However, these models require substantial noisy-clean speech pairs for supervised training, which limits their widespread use.Although there have been attempts to train denoising networks with only noisy speech data, existing self-supervised method