Train Wav-U-Net & Demucs Models on MUSDB18-HQ dataset

[NickMateus11]

Description

- For these source separation implementation, that are open source, try a test run of the training the model. This may include:
- Re-training the model (open source repo may have instructions for doing so)
- Testing the existing models on test data
- Reading the source files and noting specific features or methods of the implementation

Rough steps to take
- Loading the dataset
- Train Model
- Evaluate model using performance metrics
- Compare to performance of existing solutions

Acceptance Criteria

• Notebook file created to test and play with the implementation code
• Peer review of code
• Documentation outlining comparison to existing solutions

[dufaultc]

https://github.com/asteroid-team/asteroid/tree/master/notebooks

https://asteroid.readthedocs.io/en/latest/

https://github.com/f90/Wave-U-Net-Pytorch