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Meraviglia, Manfredo (2023) Computer generated music: a new empiricial approach. Doctoral thesis, London Metropolitan University.
Abstract
Genetic algorithms have been widely used for systems of automatic music generation; however, the field lacks research on the aesthetic value, on harmony or musical form and on control over the kind of music generated by such systems.
This thesis outlines investigations into scoring methods based on Zipf's Law and the Golden Ratio in order to successfully score the balance between binary elements (e.g., repetition-variation). These investigations were conducted through the development and implementation of a music-generated system named IntelMusica.
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