Exploring Data-Driven Instruments in Contemporary Music Composition
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How can data-driven instruments, through data mapping strategies and the use of performance interfaces, transform compositional prac-tices and expand the creative possibilities of contemporary music production? This paper illustrates the concept of data-driven instru-ments and their connection to conventional musical instruments. It examines three original compositions written by the author to demonstrate the utilization of data-driven instruments in musical contexts, focusing on the application of sonic materials and data map-ping strategies. Developed using Max, a programming language by Cycling '74, and Kyma, a sound creation environment by Symbolic Sound, these compositions utilize diverse performance interfaces to explore interactive, real-time possibilities. By exploring these in-struments' innovative potential, this paper demonstrates their transformative role in contemporary music creation, offering new poten-tials and expanding the horizons of musical artistry.
Abstract
How can data-driven instruments, through data mapping strategies and the use of performance interfaces, transform compositional prac-tices and expand the creative possibilities of contemporary music production? This paper illustrates the concept of data-driven instru-ments and their connection to conventional musical instruments. It examines three original compositions written by the author to demonstrate the utilization of data-driven instruments in musical contexts, focusing on the application of sonic materials and data map-ping strategies. Developed using Max, a programming language by Cycling '74, and Kyma, a sound creation environment by Symbolic Sound, these compositions utilize diverse performance interfaces to explore interactive, real-time possibilities. By exploring these in-struments' innovative potential, this paper demonstrates their transformative role in contemporary music creation, offering new poten-tials and expanding the horizons of musical artistry.
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