Metadata for Audio
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Paper CD6-3
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Music Genre Estimation from Low Level Audio
Features
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Oliver Hellmuth, Eric Allamanche,
Thorsten Kastner, Ralf Wistorf, Nicolas Lefebvre,
J�rgen Herre
Fraunhofer IIS, Ilmenau, Germany
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| Despite the subjective nature of associating a certain
song or artist with a specific musical genre, this type
of characterization is frequently used to provide a convenient
way of expressing very coarse information on
the basic stylistic and rhythmic elements and/or instrumentation
of a song. An audio database that is structured
according to different musical genres is a first
important step to provide an easy / intuitive access to
a large music collection. Thus, a convenient way for
indexing large databases by musical genre is desired.
This paper describes a system for an automatic genre
classification into several musical genres. Different
features as well as classification strategies will be
evaluated and compared. The system�s performance
is assessed by means of a subjective listening test. |
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