Implement Wave-U-Net by PyTorch, and migrate it to the speech enhancement.
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Updated
Oct 4, 2022 - Python
Implement Wave-U-Net by PyTorch, and migrate it to the speech enhancement.
The official PyTorch implementation of "FullSubNet+: Channel Attention FullSubNet with Complex Spectrograms for Speech Enhancement".
This project gives an example of dual microphone speech enhancement based on GSC beamformer and multiple channel postfilter.
Combining Weighted Multi-resolution STFT Loss and Distance Fusion to Optimize Speech Enhancement Generative Adversarial Networks
Neuro-Holistic Audio-eNhancement System (N-HANS)
Cross-Domain Echo Controller
Build speech enhancement dataset.
Real-Time Noise Reducer in Android
unofficial implementation of "A Causal U-net based Neural Beamforming Network for Real-Time Multi-Channel Speech Enhancement"
A Fast Speech Enhancement toolkit using Conv-TasNet
Speech Enhancement for ASR usage
Documents for Speech Enhancement with Machine leanring and TinyML
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