This project explores concepts for blind source separation contained in the paper Conv-TasNet: Surpassing Ideal Time-Frequency Magnitude Masking for Speech Separation.
The authors of the paper provided PyTorch code as an example implementation. Additionally, there exists an official PyTorch implementation; this official implementation was used as a guide for the TensorFlow code contained in this repo.