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

31 Oct 2017Daniel StollerSebastian EwertSimon 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 only few datasets available, often extensive data augmentation is used to combat overfitting... (read more)

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