Zobrazeno 1 - 10
of 5 021
pro vyhledávání: '"music knowledge"'
Autor:
Lyberatos, Vassilis, Kantarelis, Spyridon, Kaldeli, Eirini, Bekiaris, Spyros, Tzortzis, Panagiotis, Mastromichalakis, Orfeas Menis, Stamou, Giorgos
This paper describes the methodology followed and the lessons learned from employing crowdsourcing techniques as part of a homework assignment involving higher education students of computer science. Making use of a platform that supports crowdsourci
Externí odkaz:
http://arxiv.org/abs/2306.07310
Publikováno v:
Nordisk Barnehageforskning, Vol 21, Iss 3 (2024)
According to the Swedish curriculum (SKOLFS 2018, p. 50), preschool teachers bear the responsibility for teaching and incorporating music into preschool practice. However, due to limited time dedicated to music in preschool teacher education, teacher
Externí odkaz:
https://doaj.org/article/d20b4b1f7efc4f39b39823a792ef2de4
Akademický článek
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Deep learning has rapidly become the state-of-the-art approach for music generation. However, training a deep model typically requires a large training set, which is often not available for specific musical styles. In this paper, we present augmentat
Externí odkaz:
http://arxiv.org/abs/2006.13331
Interpretability of machine learning models has gained more and more attention among researchers in the artificial intelligence (AI) and human-computer interaction (HCI) communities. Most existing work focuses on decision making, whereas we consider
Externí odkaz:
http://arxiv.org/abs/2004.06894
Autor:
Velikova, M.1 mi.velikova@gmail.com, Radev, T.2 tihomir.radev@abv.bg
Publikováno v:
Trakia Journal of Sciences. 2023, Vol. 21 Issue 2, p93-98. 6p.
Autor:
M. Velikova, T. Radev
Publikováno v:
Trakia Journal of Sciences, Vol 21, Iss 2, Pp 93-98 (2023)
The development of modern society requires the application of new forms of presentation of educational content in order to build personality and form a generation of creative people. It’s necessary that the approach and forms of the structure of
Externí odkaz:
https://doaj.org/article/fc59f85ce5ae47aeab55824c4083eaa4
Publikováno v:
Journal of New Music Research (2018)
Today, a massive amount of musical knowledge is stored in written form, with testimonies dated as far back as several centuries ago. In this work, we present different Natural Language Processing (NLP) approaches to harness the potential of these tex
Externí odkaz:
http://arxiv.org/abs/1807.02200
Akademický článek
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