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Found 2 papers, 2 papers with code
Learning Interpretable Low-dimensional Representation via Physical Symmetry
We have recently seen great progress in learning interpretable music representations, ranging from basic factors, such as pitch and timbre, to high-level concepts, such as chord and texture.
Learning Hierarchical Metrical Structure Beyond Measures
In this paper, we explore a data-driven approach to automatically extract hierarchical metrical structures from scores.
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