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 23rd International Society for Music Information Retrieval Conference, ISMIR 2022, Bengaluru, India, December 4-8, 2022
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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.