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.
In: Proceedings of the European conference on computer vision (ECCV)
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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.