GitHub - carlmoore256/Mic-Bleed-Removal-CNN: Conv Net for masking & removing microphone bleed from drum recordings, trained with the Cambridge Multitrack dataset

Name		Name	Last commit message	Last commit date
Latest commit History 3 Commits
Examples		Examples
.DS_Store		.DS_Store
.gitignore		.gitignore
AUTO_GENERATED_MODEL (1).png		AUTO_GENERATED_MODEL (1).png
FirstWorkingModel.py		FirstWorkingModel.py
README.md		README.md
WaveUNet_with_skip.py		WaveUNet_with_skip.py
WaveUNet_with_skip2.py		WaveUNet_with_skip2.py
WaveUNet_with_skip_WORKING.py		WaveUNet_with_skip_WORKING.py
auto_generated_model.png		auto_generated_model.png
callback.py		callback.py
cambridge_dataset_full_params.json		cambridge_dataset_full_params.json
conv_channels_comparison.wav		conv_channels_comparison.wav
conv_channels_comparison.wav.reapeaks		conv_channels_comparison.wav.reapeaks
datagen.py		datagen.py
masking_example.wav		masking_example.wav
masking_example.wav.reapeaks		masking_example.wav.reapeaks
mic_placement_full.json		mic_placement_full.json
micplacementconvnet.py		micplacementconvnet.py
micplacementconvnet_full.py		micplacementconvnet_full.py
model.py		model.py
model_5_30_20.py		model_5_30_20.py
model_auto_generated_2.png		model_auto_generated_2.png
model_manually_generated.png		model_manually_generated.png
train.py		train.py
wacky_model_2d.py		wacky_model_2d.py