VORTRAG
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Oesterreichisches Forschungsinstitut fuer Artificial Intelligence(OeFAI)
Freyung 6/6, A-1010 Wien
Tel.: +43-1-53361120, Fax: +43-1-5336112-77, Email: sec@oefai.at
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Dr. Simon Dixon
Senior Researcher
OeFAI, Wien
TOWARDS CHARACTERISATION OF MUSIC VIA RHYTMIC PATTERNS
A central problem in music information retrieval is finding
suitable representations which enable efficient and accurate
computation of musical similarity and identity.
Many aspects of music can only be captured by considering high
level features. In this work, bar-length rhythmic patterns are
automatically extracted from the audio signal and used as
features for genre classification. Standard classification
algorithms are utilised to discriminate 8 classes of Standard
and Latin ballroom dance music with a classification rate of
up to 96%.
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Zeit: Dienstag, 21. Dezember 2004, 18:00 Uhr pktl.
Ort: Oesterreichisches Forschungsinstitut
fuer Artificial Intelligence
Freyung 6/6, 3. Stock, 1010 Wien.
OESTERREICHISCHES FORSCHUNGSINSTITUT
FUER ARTIFICIAL INTELLIGENCE
o.Univ.-Prof. Ing. Dr. Robert Trappl