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Creative Chord Sequence Generation for Electronic Dance Music

Department of Computer Science and Artificial Intelligence, University of the Basque Country UPV/EHU, 20018 San Sebastian, Spain
IKERBASQUE, Basque Foundation for Science, 48013 Bilbao, Spain
Re-Compose GmbH, 1080 Vienna, Austria
Author to whom correspondence should be addressed.
Appl. Sci. 2018, 8(9), 1704;
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.

AMA Style

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

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.

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