2022
Improving Source Separation by Explicitly Modeling Dependencies between Sources
ICASSP 2022accepted
We propose a new method for training a supervised source separation system that aims to learn the interdependent relationships between all combinations of sources in a mixture. Rather than independently estimating each source from a mix, we reframe the source separation problem as an Orderless Neura…