A unified graph neural network trained on heterogeneous symbolic music datasets achieves competitive multi-task music analysis with better cross-dataset robustness than single-corpus models.
Journal of New Music Research38(1), 3–18 (Mar 2009)
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AnalysisGNN: Unified Music Analysis with Graph Neural Networks
A unified graph neural network trained on heterogeneous symbolic music datasets achieves competitive multi-task music analysis with better cross-dataset robustness than single-corpus models.