INTERPRETING REPETITION AND VARIATION IN DIGITAL MUSIC: FROM ALGORITHMS TO ARTISTIC EXPRESSION

Abstract

This article explores the phenomenon of repetition and variation in the context of digital music, analyzing the transformation of classical compositional techniques under the influence of modern technologies. It examines the evolution from traditional methods of creating musical variations to algorithmic approaches, including machine learning and generative models. Particular attention is paid to artistic expression arising at the intersection of human creativity and computational capabilities. The study covers the theoretical foundations, practical applications, and aesthetic aspects of digital musical creativity, demonstrating how technological innovations are expanding the boundaries of musical expression.