In this talk recent approaches will be summed up that Holzapfel proposed in
his cooperation with OFAI in Vienna and INESC TEC in Porto. One focus will
lie on the estimation of rhythmic similarity between two pieces of music.
Approaches were compared regarding their tempo robustness, and it will be
conclusions will be presented regarding how far tempo is an important
criterion for rhythmic similarity. Secondly, an overview will given about a
system based on mutual agreement to assess the quality of beat sequences in
relation to a piece of music. We presented an approach that is capable of
selecting pieces that are difficult for beat tracking without any prior
knowledge of the ground truth. Insight will be given in how far automatic
beat tracking agrees with human beat perception, and which signal
characteristics lead to problems for algorithms and for humans.
Rhythm and beat similarity in music

03.09.2012
Date : 03.09.2012
Time: 11:30 - 13:00
Location : "Alkiviades C. Payatakes" Seminar Room, FORTH, Heraklion, Crete
Host : Y.Stylianou
Andre Holzapfel completed his PhD at the Department of Computer Science at
the University of Crete in 2010, with focus on computational methods for
ethnomusicology. From September 2010 to February 2011 he worked as a
post-doctoral researcher at the Austrian Research Institute for Artificial
Intelligence (OFAI), focused on the improvement of rhythmic similarity
measures for music. From April 2011 until March 2012 he joined INESC TEC in
Porto for a post-doctoral research on beat tracking and rhythm synthesis. He
is now working for the Compmusic project at Universitat Pompeu Fabra in
Barcelona, exploring the rhythmic properties of classical Ottoman music.