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Interactive Machine Learning of Musical Gesture
Visi, Federico Ghelli
Luleå University of Technology, Department of Social Sciences, Technology and Arts, Music, Media and Theater.
ORCID iD:
0000-0001-9685-4702
Tanaka, Atau
EAVI–Embodied Audiovisual Interaction, Goldsmiths, University of London, New Cross, London, SE14 6NW, UK.
2021 (English)
In:
Handbook of Artificial Intelligence for Music: Foundations, Advanced Approaches, and Developments for Creativity / [ed] Miranda, Eduardo Reck, Springer Nature, 2021, p. 771-798
Chapter in book (Refereed)
Place, publisher, year, edition, pages
Springer Nature, 2021. p. 771-798
National Category
Music
Research subject
Musical Performance
Identifiers
URN:
urn:nbn:se:ltu:diva-98312
DOI:
10.1007/978-3-030-72116-9_27
Scopus ID:
2-s2.0-85160498769
OAI: oai:DiVA.org:ltu-98312
DiVA, id:
diva2:1767557
Note
ISBN för värdpublikation: 978-3-030-72115-2, 978-3-030-72118-3, 978-3-030-72116-9
Available from:
2023-06-14
Created:
2023-06-14
Last updated:
2025-02-21
Bibliographically approved
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Visi, Federico Ghelli
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ieee
modern-language-association-8th-edition
vancouver
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apa
ieee
modern-language-association-8th-edition
vancouver
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en-GB
en-US
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nn-NB
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