"Flexible and Robust Music Tracking"
Flexible and Robust Music Tracking
Sprache des Titels:
Computers nowadays are prevalent in all areas of music, from the
compositional process to music production, be it in the studio or
live on stage. The thesis is concerned with a specific problem in
music processing, namely
, also known as
. Casually speaking, a music tracking algorithm ?listens? to
a live performance of music, compares the incoming audio signal
to a representation of the score, and ?reads? along, i.e. at any given
moment it knows the exact position of the musician(s) in the sheet
music. This information enables a wide range of applications, e.g.
visualisations synchronised to live music, automatic page-turning of
the score, and automatic accompaniment.
The focus of the thesis is on robust and flexible music tracking
algorithms for Western classical music which overcome the limitations
of other existing algorithms. The main contributions of the thesis are
, increasing the
robustness and accuracy of music tracking,
a very robust
multi-agent music tracking approach
robust tracking e.g. of complex orchestral music, and
music identification algorithms
which enable flexible
that is not limited to tracking a single, predefined
piece, but works flexibly on a (large) database of sheet music.