Source Separation Project For ML Jeju Camp 2017
Two methods of separating monaural sources have been implemented during the month spent at ML Jeju Camp
First project implemented Vector Product Neural Networks, referencing the paper 'Music Signal Processing Using Vector Product Neural Networks' by Fan et al. Find paper here
Files related to this model are model.py, run.py and config.py
Second project implemented Deep Clustering, referencing the paper 'Deep Clustering: Discriminiative embeddings for segmentation and separation' by Hershey et al. Find paper here