Note:
This bibliographic page is archived and will no longer be updated.
For an up-to-date list of publications from the Music Technology Group see the
Publications list
.
Modeling Moods in Violin Performances
| Title | Modeling Moods in Violin Performances |
| Publication Type | Conference Paper |
| Year of Publication | 2008 |
| Conference Name | Sound and Music Computing Conference |
| Authors | Pérez, A. , Ramirez R. , & Kersten S. |
| Abstract |
In this paper we present a method to model and compare expressivity for
different Moods in violin performances. Models are based on analysis of
audio and bowing control gestures of real performances and they predict
expressive scores from non expressive ones.
Audio and control data is captured by means of a violin pickup and a 3D
motion tracking system and aligned with the performed score.
We make use of machine learning techniques in order to extract
expressivity rules from score-performance deviations. The induced rules
conform a generative model that can transform an inexpressive score into
an expressive one.
|
| preprint/postprint document | files/publications/SMC08.pdf |
