Creative Chord Sequence Generation for Electronic Dance Music

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 i...

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Detalles Bibliográficos
Autores: Conklin, Darrell, Gasser, Martin, Oertl, Stefan
Tipo de recurso: artículo
Fecha de publicación:2018
País:España
Institución:Universidad del País Vasco
Repositorio:Addi. Archivo Digital para la Docencia y la Investigación
OAI Identifier:oai:addi.ehu.eus:10810/32308
Acceso en línea:http://hdl.handle.net/10810/32308
Access Level:acceso abierto
Palabra clave:music generation
chord sequences
harmony
models
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spelling Creative Chord Sequence Generation for Electronic Dance MusicConklin, DarrellGasser, MartinOertl, Stefanmusic generationchord sequencesharmonymodelsThis 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.This research was supported by the project I2C8 (Inspiring to Create) which is funded by the European Union's Horizon 2020 Research and Innovation programme under grant agreement number 754401.MDPIEuropean Commission201920192018info:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10810/32308reponame:Addi. Archivo Digital para la Docencia y la Investigacióninstname:Universidad del País VascoInglésinfo:eu-repo/grantAgreement/EC/H2020/754401https://www.mdpi.com/2076-3417/8/9/1704info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by/3.0/es/oai:addi.ehu.eus:10810/323082026-06-18T09:23:17Z
dc.title.none.fl_str_mv Creative Chord Sequence Generation for Electronic Dance Music
title Creative Chord Sequence Generation for Electronic Dance Music
spellingShingle Creative Chord Sequence Generation for Electronic Dance Music
Conklin, Darrell
music generation
chord sequences
harmony
models
title_short Creative Chord Sequence Generation for Electronic Dance Music
title_full Creative Chord Sequence Generation for Electronic Dance Music
title_fullStr Creative Chord Sequence Generation for Electronic Dance Music
title_full_unstemmed Creative Chord Sequence Generation for Electronic Dance Music
title_sort Creative Chord Sequence Generation for Electronic Dance Music
dc.creator.none.fl_str_mv Conklin, Darrell
Gasser, Martin
Oertl, Stefan
author Conklin, Darrell
author_facet Conklin, Darrell
Gasser, Martin
Oertl, Stefan
author_role author
author2 Gasser, Martin
Oertl, Stefan
author2_role author
author
dc.contributor.none.fl_str_mv European Commission
dc.subject.none.fl_str_mv music generation
chord sequences
harmony
models
topic music generation
chord sequences
harmony
models
description 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.
publishDate 2018
dc.date.none.fl_str_mv 2018
2019
2019
dc.type.none.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv http://hdl.handle.net/10810/32308
url http://hdl.handle.net/10810/32308
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv info:eu-repo/grantAgreement/EC/H2020/754401
https://www.mdpi.com/2076-3417/8/9/1704
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by/3.0/es/
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by/3.0/es/
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv MDPI
publisher.none.fl_str_mv MDPI
dc.source.none.fl_str_mv reponame:Addi. Archivo Digital para la Docencia y la Investigación
instname:Universidad del País Vasco
instname_str Universidad del País Vasco
reponame_str Addi. Archivo Digital para la Docencia y la Investigación
collection Addi. Archivo Digital para la Docencia y la Investigación
repository.name.fl_str_mv
repository.mail.fl_str_mv
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