Computer graphics in music performance research

Abstract

Theories of skilled music performance must account for variations on what is written in traditional musical notation. Some variations are intentional and reflect structural features of the music that are chosen for emphasis by the performer. Current music notations are inadequate to reflect these variations. Computer applications are described that allow graphical and statistical examination of performance variations on traditional musical notation. An integrated set of visual and sound tools is provided that allows music to be recorded, edited, analyzed, and played back on electronic and acoustic musical instruments. The graphical format allows flexibility through the use of windows, compression, expansion, and scrolling of multiple sources of information, mapping of acoustic to visual dimensions, and scaling of different performance parameters without normalization. Experimental evidence from piano performances is used to demonstrate how graphical formats can aid research on human performance.