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Let’s Have Another Gan Ainm: An experimental album of Irish traditional music and computer-generated tunes
KTH, School of Electrical Engineering and Computer Science (EECS), Speech, Music and Hearing, TMH.ORCID iD: 0000-0003-2549-6367
Kingston University, UK. (Department of Performing Arts)
2018 (English)Report (Other academic) [Artistic work]
Abstract [en]

This technical report details the creation and public release of an album of folk music, most which comes from material generated by computer models trained on transcriptions of traditional music of Ireland and the UK.For each computer-generated tune appearing on the album, we provide below the original version and the alterations made.

Place, publisher, year, edition, pages
2018. , p. 24
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Applied and Computational Mathematics
Identifiers
URN: urn:nbn:se:kth:diva-235167OAI: oai:DiVA.org:kth-235167DiVA, id: diva2:1248565
Projects
``Engaging three user communities with applications and outcomes of computational music creativity'' (funded by UK Arts and Humanities Research Council, grant no. AH/R004706/1)
Note

QC 20180919

Available from: 2018-09-17 Created: 2018-09-17 Last updated: 2018-09-26Bibliographically approved

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fulltext(979 kB)93 downloads
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Type fulltextMimetype application/pdf

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf