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Article

Creative Chord Sequence Generation for Electronic Dance Music

1
Department of Computer Science and Artificial Intelligence, University of the Basque Country UPV/EHU, 20018 San Sebastian, Spain
2
IKERBASQUE, Basque Foundation for Science, 48013 Bilbao, Spain
3
Re-Compose GmbH, 1080 Vienna, Austria
*
Author to whom correspondence should be addressed.
Appl. Sci. 2018, 8(9), 1704; https://doi.org/10.3390/app8091704
Received: 31 July 2018 / Revised: 16 September 2018 / Accepted: 17 September 2018 / Published: 19 September 2018
(This article belongs to the Special Issue Digital Audio and Image Processing with Focus on Music Research)
This paper describes the theory and implementation of a digital audio workstation plug-in for chord sequence generation. The plug-in is intended to encourage and inspire a composer of electronic dance music to explore loops through chord sequence pattern definition, position locking and generation into unlocked positions. A basic cyclic first-order statistical model is extended with latent diatonicity variables which permits sequences to depart from a specified key. Degrees of diatonicity of generated sequences can be explored and parameters for voicing the sequences can be manipulated. Feedback on the concepts, interface, and usability was given by a small focus group of musicians and music producers. View Full-Text
Keywords: music generation; chord sequences; harmony music generation; chord sequences; harmony
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MDPI and ACS Style

Conklin, D.; Gasser, M.; Oertl, S. Creative Chord Sequence Generation for Electronic Dance Music. Appl. Sci. 2018, 8, 1704. https://doi.org/10.3390/app8091704

AMA Style

Conklin D, Gasser M, Oertl S. Creative Chord Sequence Generation for Electronic Dance Music. Applied Sciences. 2018; 8(9):1704. https://doi.org/10.3390/app8091704

Chicago/Turabian Style

Conklin, Darrell, Martin Gasser, and Stefan Oertl. 2018. "Creative Chord Sequence Generation for Electronic Dance Music" Applied Sciences 8, no. 9: 1704. https://doi.org/10.3390/app8091704

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