Adding self-supervised objectives to a supervised multi-pitch estimator improves closed-set performance but triggers degeneration to blank predictions on additional, unlabeled data.
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Investigating an Overfitting and Degeneration Phenomenon in Self-Supervised Multi-Pitch Estimation
Adding self-supervised objectives to a supervised multi-pitch estimator improves closed-set performance but triggers degeneration to blank predictions on additional, unlabeled data.