Research Data Leeds Repository

Citation

Magnusson, Thor (2016) Generative Music: A Form without a Format. University of Leeds. [Dataset] https://doi.org/10.5518/160/25

Dataset description

This paper explores the history and context of generative music dissemination in the form of distributable computational systems, rather than merely as rendered fixed-media outputs. Coinciding developments in musical scores and technology are highlighted and framed as the basis on which much contemporary work stands. After contextualising computer-based generative music as a narrative that extends over five decades of academic research and development, it introduces a few selected projects and expounds the heterogeneous nature of generative systems. The problem of technological formats for the music will be discussed and contextualised with current developments that point to diverse future possibilities. The paper discusses the musicology of generative music, arguing that musicologists, critics and reviewers have to engage with the natural score format of generative music, namely the code itself.

Subjects:	W000 - Creative arts & design > W300 - Music W000 - Creative arts & design > W300 - Music > W310 - Musicianship/performance studies > W316 - Electronic/electro-acoustic music performance
Divisions:	Faculty of Arts, Humanities and Cultures > School of Music
Related resources:	Location Type https://eprints.whiterose.ac.uk/119074/ Publication https://doi.org/10.1017/S135577181700005X Publication https://hughdaviesproject.wordpress.com/ Website
Date deposited:	27 Jul 2017 19:27
URI:	https://archive.researchdata.leeds.ac.uk/id/eprint/207
Additional details Additional details Creators or authors: Creators ORCID Other ID Email Primary affiliation Primary affiliation ID Primary affiliation ID type Secondary affiliation Secondary affiliation ID Secondary affiliation ID type Magnusson, Thor https://orcid.org/0000-0002-3731-0630 University of Sussex https://ror.org/00ayhx656 ror Type of data: Dataset Publication date: 2016 Legal and ethical issues: The data is made available for the purposes of not for-profit research or teaching or personal educational development. Resource language: English Metadata language: English Publisher: University of Leeds Last Modified: 13 Aug 2024 13:27

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25_s4a_magnusson_ahem2016.mp4 [1GB] 25_s4a_magnusson_ahem2016.mp4 [1GB] 25_s4a_magnusson_ahem2016.mp4 [1GB] Security: Anyone File name: 25_s4a_magnusson_ahem2016.mp4 Content type: Data Mime-Type: video/mp4 File size: 1GB