most citedPiRhDy: Learning Pitch-, Rhythm-, and Dynamics-aware Embeddings for Symbolic Music

23 citations · 23 across the 1 of their papers we have counts for

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1 paper

cs.SD2020★ 23 cited

PiRhDy: Learning Pitch-, Rhythm-, and Dynamics-aware Embeddings for Symbolic Music

Hongru Liang, Wenqiang Lei, Paul Yaozhu Chan +3

Definitive embeddings remain a fundamental challenge of computational musicology for symbolic music in deep learning today. Analogous to natural language, music can be modeled as a…