dc.contributor.author | Conklin, Darrell | |
dc.contributor.author | Gasser, Martin | |
dc.contributor.author | Oertl, Stefan | |
dc.date.accessioned | 2019-04-02T15:25:14Z | |
dc.date.available | 2019-04-02T15:25:14Z | |
dc.date.issued | 2018-09-19 | |
dc.identifier.citation | Applied Sciences 8(9) : (2018) // Article ID 1704 | es_ES |
dc.identifier.issn | 2076-3417 | |
dc.identifier.uri | http://hdl.handle.net/10810/32308 | |
dc.description.abstract | 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. | es_ES |
dc.description.sponsorship | 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. | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | MDPI | es_ES |
dc.relation | info:eu-repo/grantAgreement/EC/H2020/754401 | es_ES |
dc.rights | info:eu-repo/semantics/openAccess | es_ES |
dc.rights.uri | http://creativecommons.org/licenses/by/3.0/es/ | * |
dc.subject | music generation | es_ES |
dc.subject | chord sequences | es_ES |
dc.subject | harmony | es_ES |
dc.subject | models | es_ES |
dc.title | Creative Chord Sequence Generation for Electronic Dance Music | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.relation.publisherversion | https://www.mdpi.com/2076-3417/8/9/1704 | es_ES |
dc.identifier.doi | 10.3390/app8091704 | |
dc.contributor.funder | European Commission | |
dc.departamentoes | Ciencia de la computación e inteligencia artificial | es_ES |
dc.departamentoeu | Konputazio zientziak eta adimen artifiziala | es_ES |