Discovering Creative Commons Sounds in Live Coding
dc.contributor.author | Xambo, Anna | |
dc.date.acceptance | 2023-02-08 | |
dc.date.accessioned | 2023-10-31T10:25:47Z | |
dc.date.available | 2023-10-31T10:25:47Z | |
dc.date.issued | 2023-08-14 | |
dc.description | open access article | |
dc.description.abstract | This article reports on a study to identify the new sonic challenges and opportunities for live coders, computer musicians and sonic artists using MIRLCa, a live-coding environment powered by an artificial intelligence (AI) system. MIRLCa works as a customisable worldwide sampler, with sounds retrieved from the collective online Creative Commons (CC) database Freesound. The live-coding environment was developed in SuperCollider by the author in conversation with the live-coding community through a series of workshops and by observing its use by 16 live coders, including the author, in work-in-progress sessions, impromptu performances and concerts. This article presents a qualitative analysis of the workshops, work-in-progress sessions and performances. The findings identify (1) the advantages and disadvantages, and (2) the different compositional strategies that result from manipulating a digital sampler of online CC sounds in live coding. A prominent advantage of using sound samples in live coding is its low-entry access suitable for music improvisation. The article concludes by highlighting future directions relevant to performance, composition, musicology and education. | |
dc.funder | EPSRC (Engineering and Physical Sciences Research Council) | |
dc.identifier.citation | Xambó Sedó, A. (2023) Discovering Creative Commons Sounds in Live Coding. Organised Sound, 28 (2), pp. 276-289 | |
dc.identifier.doi | https://doi.org/10.1017/S1355771823000262 | |
dc.identifier.uri | https://hdl.handle.net/2086/23311 | |
dc.language.iso | en | |
dc.peerreviewed | Yes | |
dc.projectid | EP/R045178/1 | |
dc.publisher | Cambridge University Press | |
dc.researchinstitute | Music, Technology and Innovation - Institute for Sonic Creativity (MTI2) | |
dc.rights | Attribution 2.0 UK: England & Wales | en |
dc.rights.uri | http://creativecommons.org/licenses/by/2.0/uk/ | |
dc.subject | live coding | |
dc.subject | MIR | |
dc.subject | creative commons | |
dc.subject | creative AI | |
dc.subject | communities of practice | |
dc.title | Discovering Creative Commons Sounds in Live Coding | |
dc.type | Article |
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