Modeling celtic violin expressive performance
Ramírez Rafael, Pérez A., Kersten Stefan, Rizo David, Illescas Plácido R. and José Iñesta
In: Int. Workshop on Machine Learning and Music (MML 2008), 5-12 July 2008, Helsinki, Finland.

Abstract

Professional musicians intuitively manipulate sound properties such as pitch, timing, amplitude and timbre in order to produce expressive performances of particular pieces. However, there is little explicit information about how and in which musical contexts this manipulation occurs. In this paper we describe an inductive logic programming approach to modeling the knowledge applied by a violinist when performing a celtic piece in order to produce an expressive performance.

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