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DCCRN-with-various-loss-functions
DCCRN-with-various-loss-functions PublicDCCRN with various loss functions
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DNN-based-Speech-Enhancement-in-the-frequency-domain
DNN-based-Speech-Enhancement-in-the-frequency-domain PublicDNN-based SE in the frequency domain using Pytorch. You can test some state-of-the-art networks using T-F masking or spectral mapping method.
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Multi-label-12-lead-ECG-abnormality-classification
Multi-label-12-lead-ECG-abnormality-classification PublicA Combined ResNet-DenseNet Architecture with ResU Blocks (ResU-Dense) for 12-lead ECG Abnormality Classification
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ResUNet-LC
ResUNet-LC Public2D residual U-Net (ResUNet) and a lead combiner (LC) for 12-lead ECG Abnormality Classification
Python 10
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SE-using-SRL-Model
SE-using-SRL-Model PublicCausal Speech Enhancement Based on a Two-Branch Nested U-Net Architecture Using Self-Supervised Speech Embeddings
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