SONICS, a recent fake-music detector, suffers large accuracy drops under light audio augmentations and fails to generalize to unseen generative models.
This is to be ex- pected, since machine learning models are known for be- ing unable to handle distribution shift between training and test data
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Evaluating Fake Music Detection Performance Under Audio Augmentations
SONICS, a recent fake-music detector, suffers large accuracy drops under light audio augmentations and fails to generalize to unseen generative models.