POCO, a workbench for research on expression in music
Musical performance data often requires a lot of preprocessing,
matching, filtering and tabulation before ,e.g., statistical analyses
can be made. Complex processing is needed as well for the generation
of musical stimuli and the manipulation of musical data. Tools for
these operations are made available in a neat modular form all based
on a shared representation of musical data in textual and MIDI file
formats. A preliminary version of this system is already available
for researchers and is used worldwide. Various parts of POCO will be
developed further.
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Heijink, H. (1996). Matching
Scores and Performances. Unpublished master's thesis. KUN:
Nijmegen.
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Heijink, H., Windsor, W. L., and Desain, P. (2000) Data
processing in music performance research: using structural
information to improve score-performance matching. Behavior
Research Methods, Instruments and Computers 546-554.
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Heijink, H., Desain, P., Honing, H., and Windsor, W. L. (2000)
Make Me a Match: An
Evaluation of Different Approaches to Score-Performance Matching.
Computer Music Journal 43-56. ISSN: 0148-9267.
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Honing, H. (1990). POCO:
an environment for analysing, modifying, and generating expression in
music. In Proceedings of the 1990
International Computer Music Conference.
364-368. San Francisco: Computer Music Association.
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Desain, P., Honing, H., and Heijink, H. (1997) Robust
Score-Performance Matching: Taking Advantage of Structural
Information.In Proceedings of the 1997 International Computer
Music Conference., 337-340 . San Francisco: ICMA.
Overview of all Research Projects