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Deep Neural Network approaches for Analysing Videos of Music Performances
Liwicki, Foteini
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Embedded Internet Systems Lab.
ORCID iD:
0000-0002-6756-0147
Upadhyay, Richa
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Embedded Internet Systems Lab.
ORCID iD:
0000-0001-9604-7193
Chhipa, Prakash Chandra
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Embedded Internet Systems Lab.
ORCID iD:
0000-0002-6903-7552
Murphy, Killian
SAMOVAR laboratory, Telecom SudParis, Institut Polytechnique de Paris, France.
Visi, Federico
Luleå University of Technology, Department of Social Sciences, Technology and Arts, Music, Media and Theater.
ORCID iD:
0000-0001-9685-4702
Östersjö, Stefan
Luleå University of Technology, Department of Social Sciences, Technology and Arts, Music, Media and Theater.
ORCID iD:
0000-0002-4704-5420
Liwicki, Marcus
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Embedded Internet Systems Lab.
ORCID iD:
0000-0003-4029-6574
Show others and affiliations
(English)
Manuscript (preprint) (Other academic)
National Category
Other Mechanical Engineering Computer Sciences
Research subject
Machine Learning; Musical Performance
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URN:
urn:nbn:se:ltu:diva-94846
DOI:
10.48550/arXiv.2205.11232
OAI: oai:DiVA.org:ltu-94846
DiVA, id:
diva2:1719278
Available from:
2022-12-14
Created:
2022-12-14
Last updated:
2023-09-05
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Liwicki, Foteini
Upadhyay, Richa
Chhipa, Prakash Chandra
Visi, Federico
Östersjö, Stefan
Liwicki, Marcus
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modern-language-association-8th-edition
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