V O R T R A G
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Oesterreichisches Forschungsinstitut fuer Artificial Intelligence(OFAI) der OSGK
Freyung 6/6, A-1010 Wien
Tel: +43-1-5336112-17, Fax: +43-1-5336112-77, Email: sec@ofai.at
Aggelos Gkiokas, MSc
Institute for Language and Speech Processing
Athena Research Center, Athens, Greece
"APPLYING RHYTHMIC FEATURES TO MUSIC INFORMATION RETRIEVAL:
TEMPO, BEAT AND MOVING BEYOND"
Most of the effort in automated rhythm analysis of music has been
concentrated on the tempo estimation and beat tracking tasks. Although
tempo and beat per se have a very important role in the MIR field, there
is a wealth of information from the intermediate stages that can be
explored in other problems. In particular, intermediate level
characteristics of the tempo and beat prove to be valuable descriptors,
which can be deployed to tackle higher level of abstraction problems,
such as music segmentation, rhythm similarity, genre classification and
meter extraction.
The talk will be organized in three sections. The first section involves
a detailed presentation of block-level computations for the estimation
of these intermediate features. Next, we present methods for the
estimation of tempo and beat that are based on these features. The third
section is concentrated on the exploitation of these descriptors to
tackle other higher level problems mentioned above.
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Time: Monday, 21st October 2013, 6.30 p.m. sharp
Location: Oesterreichisches Forschungsinstitut
fuer Artificial Intelligence, OFAI
Freyung 6, Stiege 6, 1010 Wien
OESTERREICHISCHES FORSCHUNGSINSTITUT
FUER ARTIFICIAL INTELLIGENCE
Univ.-Prof. Ing. Dr. Robert Trappl
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