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Novel mid-level audio features for music similarity

: Dittmar, Christian; Bastuck, Christoph; Gruhne, Matthias

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Schubert, E. ; ARC Research Network in Human Communication Science -HCSNet-, Sydney:
Inaugural International Conference on Music Communication Science, ICoMCS 2007. Proceedings. CD-ROM : University of New South Wales, Sydney, Australia, December 5 to 7, 2007
Sydney: HCSNet, 2007
ISBN: 978-1-74108-161-9
International Conference on Music Communication Science (ICoMCS) <2007, Sydney>
Conference Paper, Electronic Publication
Fraunhofer IDMT ()
audio features; music similarity

Large-scale systems for automatic content-based music recommendation require efficient computation of signal descriptors that are robust and relevant with regard to human perception in order to process extensive music archives. In this publication, a set of mid-level audio features suitable for efficient characterization of musical signals with regard to automatic music similarity estimation is proposed. These descriptors are dedicated to model timbre modulation, song dynamics, rhythmic qualities and melodic properties of a music piece in a semantic context. An outline of implementation details and peculiarities will be given. Based on a well defined benchmark criterion for music similarity assessment the strengths and weaknesses of the introduced features will be depicted and discussed accordingly.