Android app for automatic music composition

dc.centroE.T.S.I. Telecomunicaciónen_US
dc.contributor.authorNieto, Marina S.
dc.contributor.authorBarbancho-Pérez, Ana María
dc.contributor.authorBarbancho-Pérez, Isabel
dc.contributor.authorTardón-García, Lorenzo José
dc.date.accessioned2018-10-01T11:34:32Z
dc.date.available2018-10-01T11:34:32Z
dc.date.created2018
dc.date.issued2018-10-01
dc.departamentoIngeniería de Comunicaciones
dc.description.abstractIn this contribution, we present an Android App that generates music automatically replicating a specific contemporary genre, specifically rock music. The composition system is based on the analysis of a set of songs of the desired genre. The analysis results the automatic composition algorithm requires are exported to a JSON file that can be readily imported and parsed. The Android App developed creates a symbolic representation of the music generated for drums, bass and rhythm guitar that can be exported to a MIDI file or audio waveform. The evaluation results show that the automatic compositions generated are not distinguished amongst other excerpts created by human composers.en_US
dc.description.sponsorshipUniversidad de Málaga. Campus de Excelencia Internacional Andalucía Tech. Ministerio de Economía y Competitividad, Gobierno de España, Proyecto TIN2016-75866-C3-2-R.en_US
dc.identifier.urihttps://hdl.handle.net/10630/16554
dc.language.isoengen_US
dc.relation.eventdateseptiembre 2018en_US
dc.relation.eventplaceParís, Franciaen_US
dc.relation.eventtitle19th International Society for Music Information Retrieval Conferenceen_US
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.accessRightsopen accessen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectAplicaciones para móvilesen_US
dc.subjectComposición musicalen_US
dc.subject.otherMusic information retrievalen_US
dc.subject.otherAutomatic compositionen_US
dc.subject.otherAppen_US
dc.subject.otherAndroiden_US
dc.titleAndroid app for automatic music compositionen_US
dc.typeconference outputen_US
dspace.entity.typePublication
relation.isAuthorOfPublication09e99b9c-b01b-4fab-b847-367c476df65d
relation.isAuthorOfPublicationacdb2124-45a1-49ae-96dc-26bfa666e250
relation.isAuthorOfPublication4df19151-50e7-4d01-9c10-06068cae1934
relation.isAuthorOfPublication.latestForDiscovery09e99b9c-b01b-4fab-b847-367c476df65d

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
ISMIR2018_LBD.pdf
Size:
362.09 KB
Format:
Adobe Portable Document Format
Description: