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Learning and clean-up in a large scale music database

Authors
Publication Date
Keywords
  • Databases
  • Multimedia Databases
Disciplines
  • Computer Science
  • Mathematics
  • Musicology

Abstract

We have collected a database of musical features from radio broadcasts (N > 100.000). The database poses a number of hard modeling challenges including: Segmentation problems and missing metadata. We describe our efforts towards cleaning the database using signal processing and machine learning tools.

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