SMUG-Explain: A Framework for Symbolic Music Graph Explanations
Fuente:
arXiv
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| Autori principali: | , , |
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| Natura: | Preprint |
| Pubblicazione: |
2024
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| _version_ | 1866916247467196416 |
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| author | Karystinaios, Emmanouil Foscarin, Francesco Widmer, Gerhard |
| author_facet | Karystinaios, Emmanouil Foscarin, Francesco Widmer, Gerhard |
| contents | In this work, we present Score MUsic Graph (SMUG)-Explain, a framework for generating and visualizing explanations of graph neural networks applied to arbitrary prediction tasks on musical scores. Our system allows the user to visualize the contribution of input notes (and note features) to the network output, directly in the context of the musical score. We provide an interactive interface based on the music notation engraving library Verovio. We showcase the usage of SMUG-Explain on the task of cadence detection in classical music. All code is available on https://github.com/manoskary/SMUG-Explain. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2405_09241 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | SMUG-Explain: A Framework for Symbolic Music Graph Explanations Karystinaios, Emmanouil Foscarin, Francesco Widmer, Gerhard Sound Audio and Speech Processing In this work, we present Score MUsic Graph (SMUG)-Explain, a framework for generating and visualizing explanations of graph neural networks applied to arbitrary prediction tasks on musical scores. Our system allows the user to visualize the contribution of input notes (and note features) to the network output, directly in the context of the musical score. We provide an interactive interface based on the music notation engraving library Verovio. We showcase the usage of SMUG-Explain on the task of cadence detection in classical music. All code is available on https://github.com/manoskary/SMUG-Explain. |
| title | SMUG-Explain: A Framework for Symbolic Music Graph Explanations |
| topic | Sound Audio and Speech Processing |
| url | https://arxiv.org/abs/2405.09241 |