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AI Music Studies: Preparing for the Coming Flood
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Speech, Music and Hearing, TMH.ORCID iD: 0000-0003-2549-6367
CNRS, University of Lille.
The University of Hon Kong.
KTH, School of Electrical Engineering and Computer Science (EECS), Human Centered Technology, Media Technology and Interaction Design, MID.ORCID iD: 0000-0002-7605-0093
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2024 (English)In: Proceedings of AI Music Creativity, 2024Conference paper, Published paper (Refereed)
Abstract [en]

As music generated using artificial intelligence (AI music) becomes more prevalent — originating not only from individuals but also commercial services — the need to study it and its impacts becomes important. How can this material and its sources be meaningfully studied and critically engaged with, especially considering the unprecedented scales possible with generative AI? The paper begins to answer this question by considering AI music along seven aspects: 1) the company providing an AI music service; 2) its founders and employees; 3) the use of the service; 4) the users; 5) the algorithms; 6) the music; and 7) the sustainability. We make our discussion more concrete by considering the contemporary AI music service Boomy. While our investigations are preliminary and focused on a single AI music service, we argue that they open several interesting avenues of exploration for many disciplines and their intersections to help prepare for the coming flood of AI music. This paper asks many more questions than it answers, which is a feature (not a bug) of it advocating for a new domain of study: AI Music Studies.

Place, publisher, year, edition, pages
2024.
National Category
Musicology
Identifiers
URN: urn:nbn:se:kth:diva-356200OAI: oai:DiVA.org:kth-356200DiVA, id: diva2:1912382
Conference
AI Music Creativity, AIMC 2024, 9 - 11 September
Funder
EU, Horizon 2020, 864189
Note

QC 20241113

Available from: 2024-11-12 Created: 2024-11-12 Last updated: 2024-11-13Bibliographically approved

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fulltext(363 kB)37 downloads
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Sturm, BobKaila, Anna-KaisaJääskeläinen, PetraKanhov, ElinCros Vila, LauraDalmazzo, DavidCasini, LucaHolzapfel, Andre

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Sturm, BobKaila, Anna-KaisaJääskeläinen, PetraKanhov, ElinCros Vila, LauraDalmazzo, DavidCasini, LucaHolzapfel, Andre
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Speech, Music and Hearing, TMHMedia Technology and Interaction Design, MIDKTH
Musicology

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CiteExportLink to record
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Citation style
  • apa
  • ieee
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  • de-DE
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Output format
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