Abstract
This paper presents an empirical study of the performance
of final ritards in classical piano music by a collection of
famous pianists. The particular approach taken here uses
Friberg and Sundbergs kinematic rubato model in order to
characterize the variability of performed ritards across pieces
and pianists. The variability is studied in terms of the model
parameters controlling the depth and curvature of the ritard,
after the model has been fitted to the data. Apart from finding
a strong positive correlation of both parameters, we derive
curvature values from the current data set that are substantially
higher than curvature values deemed appropriate
in previous studies. Although the model is too simple to
capture all meaningful fluctuations in tempo, its parameters
seem to be musically relevant, since performances of the
same piece tend to be strongly concentrated in the parameter
space. Unsurprisingly, the model parameters are generally
not discriminative for pianist identity. Still, in some
cases systematic differences between pianists are observed
between pianists.
Original language | English |
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Title of host publication | Proceedings of the 6th Sound and Music Computing Conference. (SMC 2009) |
Number of pages | 6 |
Publication status | Published - 2009 |
Fields of science
- 102 Computer Sciences
- 102001 Artificial intelligence
- 102003 Image processing
- 102015 Information systems
- 202002 Audiovisual media