32 citations · 43 across the 4 of their papers we have counts for
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cs.SD2021
A Novel 1D State Space for Efficient Music Rhythmic Analysis
Mojtaba Heydari, Matthew McCallum, Andreas Ehmann +1
Inferring music time structures has a broad range of applications in music production, processing and analysis. Scholars have proposed various methods to analyze different aspects…
cs.SD2021★ 32 cited
Unsupervised Learning of Deep Features for Music Segmentation
Matthew C. McCallum
Music segmentation refers to the dual problem of identifying boundaries between, and labeling, distinct music segments, e.g., the chorus, verse, bridge etc. in popular music. The p…