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1 Ergebnisse
1
An Empirical Study on How People Perceive AI-generated Musi:
, In:
Proceedings of the 31st ACM International Conference on Information & Knowledge Management
,
Chu, Hyeshin
;
Kim, Joohee
;
Kim, Seongouk
... - p. 304-314 , 2022
Link:
https://dl.acm.org/doi/10.1145/3511808.3557235
RT T1 <cTitle>Proceedings of the 31st ACM International Conference on Information & Knowledge Management</cTitle>: T1 <Title>An Empirical Study on How People Perceive AI-generated Music</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3557235&Exemplar=1&LAN=DE A1 Chu, Hyeshin A1 Kim, Joohee A1 Kim, Seongouk A1 Lim, Hongkyu A1 Lee, Hyunwook A1 Jin, Seungmin A1 Lee, Jongeun A1 Kim, Taehwan A1 Ko, Sungahn PB ACM YR 2022 K1 deep learning K1 human-ai interaction K1 subjective evaluation K1 symbolic music generation K1 Applied computing K1 Arts and humanities K1 Sound and music computing K1 Human-centered computing K1 Human computer interaction (HCI) K1 HCI design and evaluation methods K1 User studies K1 Empirical studies in HCI K1 Computing methodologies K1 Machine learning K1 Machine learning approaches K1 Neural networks SP 304 OP 314 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3511808.3557235 DO https://dl.acm.org/doi/10.1145/3511808.3557235 SF ELIB - SuUB Bremen
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