TY - JOUR T1 - Controlling interactive evolution of 8-bit melodies with genetic programming JF - Soft Computing - A Fusion of Foundations, Methodologies and Applications Y1 - 2012 A1 - M. A. Kaliakatsos–Papakostas A1 - M. G. Epitropakis A1 - A. Floros A1 - M. N. Vrahatis AB - Automatic music composition and sound synthesis is a field of study that gains continuously increasing attention. The introduction of evolutionary computation has further boosted the research towards exploring ways to incorporate human supervision and guidance in the automatic evolution of melodies and sounds. This kind of human–machine interaction belongs to a larger methodological context called interactive evolution (IE). For the automatic creation of art and especially for music synthesis, user fatigue requires that the evolutionary process produces interesting content that evolves fast. This paper addresses this issue by presenting an IE system that evolves melodies using genetic programming (GP). A modification of the GP operators is proposed that allows the user to have control on the randomness of the evolutionary process. The results obtained by subjective tests indicate that the utilization of the proposed genetic operators drives the evolution to more user-preferable sounds. VL - 16 ER - TY - CHAP T1 - Interactive Evolution of 8–Bit Melodies with Genetic Programming towards Finding Aesthetic Measures for Sound T2 - Evolutionary and Biologically Inspired Music, Sound, Art and Design Y1 - 2012 A1 - M. A. Kaliakatsos–Papakostas A1 - M. G. Epitropakis A1 - A. Floros A1 - M. N. Vrahatis ED - Penousal Machado ED - Juan Romero ED - Adrian Carballal AB - The efficient specification of aesthetic measures for music as a part of modelling human conception of sound is a challenging task and has motivated several research works. It is not only targeted to the creation of automatic music composers and raters, but also reinforces the research for a deeper understanding of human noesis. The aim of this work is twofold: first, it proposes an Interactive Evolution system that uses Genetic Programming to evolve simple 8–bit melodies. The results obtained by subjective tests indicate that evolution is driven towards more user–preferable sounds. In turn, by monitoring features of the melodies in different evolution stages, indications are provided that some sound features may subsume information about aesthetic criteria. The results are promising and signify that further study of aesthetic preference through Interactive Evolution may accelerate the progress towards defining aesthetic measures for sound and music. JF - Evolutionary and Biologically Inspired Music, Sound, Art and Design T3 - Lecture Notes in Computer Science PB - Springer Berlin / Heidelberg VL - 7247 SN - 978-3-642-29141-8 ER -