Tonality driven piano compositions with Grammatical Evolution

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Title: Tonality driven piano compositions with Grammatical Evolution
Authors: Loughran, Róisín
McDermott, James
O'Neill, Michael
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Date: 28-May-2015
Online since: 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.
Funding Details: Science Foundation Ireland
Type of material: Conference Publication
Publisher: IEEE
Copyright (published version): 2015 IEEE
Keywords: Context-free grammarsEvolutionary computationGrammarsMusic
DOI: 10.1109/CEC.2015.7257152
Language: en
Status of Item: Peer reviewed
Is part of: 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
Appears in Collections:Business Research Collection
CASL Research Collection

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