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Automated data curation and imbalance-aware training strategies significantly enhance LALMs' performance on culturally diverse folk music, yet deep musical understanding remains elusive.
Unsupervised learning of pitch-contour tokens reveals hidden structures in Korean traditional music, aligning with expert categories and enhancing analysis.
