Learning and clean-up in a large scale music database

Lars Kai Hansen, Tue Lehn-Schiøler, Kåre Brandt Petersen, Jeronimo Arenas-Garcia, Jan Larsen, Søren Holdt Jensen

AbstractWe 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.
KeywordsDatabases, Multimedia databases
TypeConference paper [With referee]
ConferenceEUSIPCO 2007
Electronic version(s)[pdf]
BibTeX data [bibtex]
IMM Group(s)Intelligent Signal Processing

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