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Tonality driven piano compositions with Grammatical Evolution
Author(s)
Date Issued
2015-05-28
Date Available
2016-01-25T13:19:18Z
Abstract
We present a novel method of creating piano melodies with Grammatical Evolution (GE). The system employs a context free grammar in combination with a tonality-driven fitness function to create a population of piano melodies. The grammar is designed to create a variety of styles of musical events within each melody such as runs, arpeggios, turns and chords without any a priori musical information in regards to key or time signature. The fitness of the individuals is calculated as a measure of their tonality defined by a statistical distribution of the pitches in each piece. A number of short compositions are presented demonstrating that our system is capable of creating music that is interesting and unpredictable.
Sponsorship
Science Foundation Ireland
Type of Material
Conference Publication
Publisher
IEEE
Copyright (Published Version)
2015 IEEE
Language
English
Status of Item
Peer reviewed
Journal
Proceedings of the 2015 IEEE Congress on Evolutionary Computation (CEC)
Conference Details
2015 IEEE Congress on Evolutionary Computation (CEC), Sendai, Japan, 25 - 28 May 2015
This item is made available under a Creative Commons License
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Name
CEC15_loughranfinal.pdf
Size
801.06 KB
Format
Adobe PDF
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