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Found 3 papers, 2 papers with code
An Experimental Comparison Of Multi-view Self-supervised Methods For Music Tagging
In this study, we expand the scope of pretext tasks applied to music by investigating and comparing the performance of new self-supervised methods for music tagging.
Music Augmentation and Denoising For Peak-Based Audio Fingerprinting
Audio fingerprinting is a well-established solution for song identification from short recording excerpts.
Self-Supervised Beat Tracking in Musical Signals with Polyphonic Contrastive Learning
In order to combat this problem, we present a new self-supervised learning pretext task for beat tracking and downbeat estimation.
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