Towards a brain controller interface for generating simple Berlin School style music with interactive genetic algorithms

Conference poster


James-Reynolds, C. and Currie, E. 2021. Towards a brain controller interface for generating simple Berlin School style music with interactive genetic algorithms. Bramer, M. and Ellis, R. (ed.) AI 2021: 41st SGAI International Conference on Artificial Intelligence. Cambridge, United Kingdom [Online] 14 - 16 Dec 2021 Springer. pp. 377-382 https://doi.org/10.1007/978-3-030-91100-3_31
TypeConference poster
TitleTowards a brain controller interface for generating simple Berlin School style music with interactive genetic algorithms
AuthorsJames-Reynolds, C. and Currie, E.
Abstract

A novel approach to generating music is presented using two interactive Genetic Algorithms with electroencephalogram inputs from two subjects as their fitness functions. Many interactive Genetic Algorithm approaches for generating music employ constrained solution spaces that only utilise notes from a given scale. Our work incorporates the use of mutation to extend the solution space through the inclusion of accidental notes. A thresholding approach is adopted, that allows riffs to be repeated until fitness drops, together with a ‘killswitch’ to ensure unpleasant sounding riffs are removed from the population.
The development is ongoing, with more testing and calibration required to ensure that there are no timing errors in communication between the microcontroller boards and to identify the most appropriate threshold and mutation ranges, in addition to determining the most appropriate mixes for the users to hear.

KeywordsInteractive genetic algorithm; Electro-encephalograph ; Music generation
Research GroupArtificial Intelligence group
LanguageEnglish
ConferenceAI 2021: 41st SGAI International Conference on Artificial Intelligence
Page range377-382
Proceedings TitleArtificial Intelligence XXXVIII: 41st SGAI International Conference on Artificial Intelligence, AI 2021, Cambridge, UK, December 14–16, 2021, Proceedings
SeriesLecture Notes in Computer Science
EditorsBramer, M. and Ellis, R.
ISSN0302-9743
Electronic1611-3349
ISBN
Paperback9783030910990
Electronic9783030911003
PublisherSpringer
Publication dates
Print22 Dec 2021
Online06 Dec 2021
Publication process dates
Deposited05 Nov 2021
Accepted31 Aug 2021
Output statusPublished
Accepted author manuscript
Copyright Statement

This version of the contribution has been accepted for publication, after peer review (when applicable) but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: http://dx.doi.org/10.1007/978-3-030-91100-3_31. Use of this Accepted Version is subject to the publisher’s Accepted Manuscript terms of use https://www.springernature.com/gp/open-research/policies/accepted-ma...

Digital Object Identifier (DOI)https://doi.org/10.1007/978-3-030-91100-3_31
Web of Science identifierWOS:000761626000031
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