MICA: A Hybrid Method for Corpus-Based Algorithmic Composition of Music Based on Genetic Algorithms, Zipf's Law, and Markov Models
| dc.contributor.author | Nagelberg, Alan | |
| dc.contributor.examiningcommittee | Bob McLeod (Computer Engineering) Anderson, John (Computer Science) Sandred, Örjan (Music) | en_US |
| dc.contributor.supervisor | McNeill, Dean (Computer Engineering) | en_US |
| dc.date.accessioned | 2014-01-16T16:47:05Z | |
| dc.date.available | 2014-01-16T16:47:05Z | |
| dc.date.issued | 2014-01-16 | |
| dc.degree.discipline | Electrical and Computer Engineering | en_US |
| dc.degree.level | Master of Science (M.Sc.) | en_US |
| dc.description.abstract | 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. | en_US |
| dc.description.note | February 2014 | en_US |
| dc.identifier.uri | http://hdl.handle.net/1993/23263 | |
| dc.language.iso | eng | en_US |
| dc.rights | open access | en_US |
| dc.subject | Artificial | en_US |
| dc.subject | Intelligence | en_US |
| dc.subject | Computational | en_US |
| dc.subject | Creativity | en_US |
| dc.subject | Music | en_US |
| dc.subject | Machine | en_US |
| dc.subject | Learning | en_US |
| dc.subject | Algorithmic | en_US |
| dc.subject | Composition | en_US |
| dc.title | MICA: A Hybrid Method for Corpus-Based Algorithmic Composition of Music Based on Genetic Algorithms, Zipf's Law, and Markov Models | en_US |
| dc.type | master thesis | en_US |