An algorithm known as the Musical Imitation and Creativity Algorithm (MICA) that composes stylistic music based on a corpus of works in a given style is presented. The corpus works are digital music scores created from the widely available MIDI format. The algorithm restricts the note placement in compositions using a Markov chain model built from discrete-time representations of the corpus pieces. New compositions are evolved using a genetic algorithm with a fitness function based on Zipf's Law properties of various musical metrics in the corpus pieces. The resulting compositions are evaluated by a panel of both musical and non-musical volunteers in a blind survey.
| Identifer | oai:union.ndltd.org:LACETR/oai:collectionscanada.gc.ca:MWU.1993/23263 |
| Date | 16 January 2014 |
| Creators | Nagelberg, Alan |
| Contributors | McNeill, Dean (Computer Engineering), Bob McLeod (Computer Engineering) Anderson, John (Computer Science) Sandred, Örjan (Music) |
| Source Sets | Library and Archives Canada ETDs Repository / Centre d'archives des thèses électroniques de Bibliothèque et Archives Canada |
| Detected Language | English |
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