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FB-MSTCN: A Full-Band Single-Channel Speech Enhancement Method Based on Multi-Scale Temporal Convolutional Network
In recent years, deep learning-based approaches have significantly improved the performance of single-channel speech enhancement.
Incorporating Multi-Target in Multi-Stage Speech Enhancement Model for Better Generalization
In this study, we make full use of the contribution of multi-target joint learning to the model generalization capability, and propose a lightweight and low-computing dilated convolutional network (DCN) model for a more robust speech denoising task.
Deep Interaction between Masking and Mapping Targets for Single-Channel Speech Enhancement
In this paper, we propose a multi-branch dilated convolutional network (DCN) to simultaneously enhance the magnitude and phase of noisy speech.
Monaural Speech Enhancement Using a Multi-Branch Temporal Convolutional Network
Deep learning has achieved substantial improvement on single-channel speech enhancement tasks.
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