Adversarial Semi-Supervised Audio Source Separation applied to Singing Voice Extraction

Daniel Stoller, Sebastian Ewert, Simon Dixon

The state of the art in music source separation employs neural networks trained in a supervised fashion on multi-track databases to estimate the sources from a given mixture. With…