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.
(ICASSP 2025, official code)FlowSE: Flow Matching-based Speech Enhancement
Official repository for FlowSE (Interspeech 2025)
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
Real-Time Noise Reducer in Android
(Interspeech 2025, official code) Speech enhancement based on cascaded two flows
unofficial implementation of "A Causal U-net based Neural Beamforming Network for Real-Time Multi-Channel Speech Enhancement"
Speech Enhancement for ASR usage
A Fast Speech Enhancement toolkit using Conv-TasNet
Documents for Speech Enhancement with Machine leanring and TinyML
🧠 Implement U-Net in PyTorch for effective binary image segmentation, focusing on brain tumor detection with a complete pipeline from data prep to evaluation.
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