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Ethnographic Considerations and Critical Reflections on the Impacts of AI on Traditional Irish Music
KTH, School of Electrical Engineering and Computer Science (EECS), Human Centered Technology, Media Technology and Interaction Design, MID.ORCID iD: 0000-0002-7605-0093
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Speech, Music and Hearing, TMH.ORCID iD: 0000-0002-7234-7703
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Speech, Music and Hearing, TMH.ORCID iD: 0000-0003-2549-6367
2024 (English)Conference paper, Oral presentation with published abstract (Refereed)
Place, publisher, year, edition, pages
2024.
Keywords [en]
Ethnography, AI, music, Irish traditional music, research methodology
National Category
Music Musicology Artificial Intelligence
Research subject
Art, Technology and Design
Identifiers
URN: urn:nbn:se:kth:diva-359822OAI: oai:DiVA.org:kth-359822DiVA, id: diva2:1937150
Conference
British Forum for Ethnomusicology & International Council for Traditional Music Ireland Joint-Annual Conference, Cork, Ireland University College Cork, 4-7 April, 2024
Funder
EU, European Research Council, 864189Wallenberg AI, Autonomous Systems and Software Program (WASP), 2020.0102
Note

QCR 20250213

Available from: 2025-02-12 Created: 2025-02-12 Last updated: 2025-02-13Bibliographically approved

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No full text in DiVA

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Kaila, Anna-KaisaKanhov, ElinSturm, Bob

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  • fi-FI
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