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Designing and Evaluating the Usability of a Machine Learning API for Rapid Prototyping Music Technology.

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第一作者： Francisco,Bernardo

第一单位： EMuTe Lab, School of Media, Film and Music, University of Sussex, Brighton, United Kingdom.;EAVI, Department of Computing, Goldsmiths, University of London, London, United Kingdom.

作者： Francisco,Bernardo ^[1] ; Michael,Zbyszyński ^[2] ; Mick,Grierson ^[3] ; Rebecca,Fiebrink ^[3]

作者单位： EMuTe Lab, School of Media, Film and Music, University of Sussex, Brighton, United Kingdom.;EAVI, Department of Computing, Goldsmiths, University of London, London, United Kingdom. ^[1] EAVI, Department of Computing, Goldsmiths, University of London, London, United Kingdom. ^[2] EAVI, Department of Computing, Goldsmiths, University of London, London, United Kingdom.;Creative Computing Institute, University of the Arts, London, United Kingdom. ^[3]

关键词 application programming interfaces cognitive dimensions interactive machine learning music technology user-centered design

DOI 10.3389/frai.2020.00013

PMID 33733132

发布时间 2021-03-18

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Frontiers in artificial intelligence

2020年3卷

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Designing and Evaluating the Usability of a Machine Learning API for Rapid Prototyping Music Technology.

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