Tonality driven piano compositions with Grammatical Evolution
|Title:||Tonality driven piano compositions with Grammatical Evolution||Authors:||Loughran, Róisín
|Permanent link:||http://hdl.handle.net/10197/7414||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 grammars; Evolutionary computation; Grammars; Music||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|
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