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Evaluating AI as an Assisting Tool to Create Electronic Dance Music

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Music in the AI Era (CMMR 2021)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13770 ))

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Abstract

The demands on creatives to complete a jingle or a piece of music even under time pressure are growing. This paper analyzes Google’s Magenta Studio to identify its possibilities for a more effective production of electronic dance music (EDM), especially in terms of time, without a loss of subjective listening pleasure. For this purpose, the process of EDM music production, which includes artificial intelligence, was analyzed. With a subsequent survey, it was determined whether the music pieces produced in this way differ in their subjective listening pleasure and which of the approaches can be recommended for further production.

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Correspondence to Christian M. Fischer .

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Bohm, N., Fischer, C.M., Richardt, M. (2023). Evaluating AI as an Assisting Tool to Create Electronic Dance Music. In: Aramaki, M., Hirata, K., Kitahara, T., Kronland-Martinet, R., Ystad, S. (eds) Music in the AI Era. CMMR 2021. Lecture Notes in Computer Science, vol 13770 . Springer, Cham. https://doi.org/10.1007/978-3-031-35382-6_6

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  • DOI: https://doi.org/10.1007/978-3-031-35382-6_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-35381-9

  • Online ISBN: 978-3-031-35382-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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