arXiv Open Access 2024

SMUG-Explain: A Framework for Symbolic Music Graph Explanations

Emmanouil Karystinaios Francesco Foscarin Gerhard Widmer

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Abstrak

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.

Topik & Kata Kunci

cs.SD eess.AS

Penulis (3)

Emmanouil Karystinaios

Francesco Foscarin

Gerhard Widmer

Format Sitasi

APA MLA BibTeX

Karystinaios, E., Foscarin, F., Widmer, G. (2024). SMUG-Explain: A Framework for Symbolic Music Graph Explanations. https://arxiv.org/abs/2405.09241

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Informasi Jurnal

Tahun Terbit: 2024
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓