Rendering piano music via a performance model

A note‐list approach for automated music performance on the piano is dealt with. First, a music language that provides the means for a high‐level, quantitative description of the musical gesture is presented. It is characterized by (1) the organization of notes into a hierarchical data structure, and (2) the parametrization of performance (or interpretive) practice into terms of dynamics, agogics, articulation, shift, and damper motion. In this language, the notes of a given score can be structured in different ways according to one's musical interpretation, and the parametrized performance practice in each category can be given to any substructures. In this respect, an instance of note‐list structure is viewed as a “model of performance” where the parametrized performance practices stand for the parameters of the model. Second, certain empirical rules for such “gestural parameters” are discussed in relation to the data analysis of performed music by professional pianists. [Work supported by the Grant in ...