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cs.SD2025
Skip That Beat: Augmenting Meter Tracking Models for Underrepresented Time Signatures
Giovana Morais, Brian McFee, Magdalena Fuentes
Beat and downbeat tracking models are predominantly developed using datasets with music in 4/4 meter, which decreases their generalization to repertories in other time signatures,…
cs.SD2025
Hybrid Losses for Hierarchical Embedding Learning
Haokun Tian, Stefan Lattner, Brian McFee +1
In traditional supervised learning, the cross-entropy loss treats all incorrect predictions equally, ignoring the relevance or proximity of wrong labels to the correct answer. By l…