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Matthew C. McCallum

2 papers here

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author position
  • sole author1
  • middle author1

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.SD2

identity via Semantic Scholar / OpenAlex

most citedUnsupervised Learning of Deep Features for Music Segmentation

32 citations · 32 across the 1 of their papers we have counts for

collaborators

2 papers

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…

cs.SD2020

Mood Classification Using Listening Data

Filip Korzeniowski, Oriol Nieto, Matthew McCallum +3

The mood of a song is a highly relevant feature for exploration and recommendation in large collections of music. These collections tend to require automatic methods for predicting…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.