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Cadence Detection in Symbolic Classical Music using Graph Neural Networks. (arXiv:2208.14819v1 [cs.SD])
cs.LG updates on arXiv.org arxiv.org
Cadences are complex structures that have been driving music from the
beginning of contrapuntal polyphony until today. Detecting such structures is
vital for numerous MIR tasks such as musicological analysis, key detection, or
music segmentation. However, automatic cadence detection remains challenging
mainly because it involves a combination of high-level musical elements like
harmony, voice leading, and rhythm. In this work, we present a graph
representation of symbolic scores as an intermediate means to solve the cadence
detection task. We approach …
arxiv classical music detection graph graph neural networks music networks neural networks