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"Melatonin": A Case Study on AI-induced Musical Style

arXiv 2208.08968 ↗First posted 18 Aug 2022cs.AIcited by 0

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Abstract (arXiv)

Although the use of AI tools in music composition and production is steadily increasing, as witnessed by the newly founded AI song contest, analysis of music produced using these tools is still relatively uncommon as a mean to gain insight in the ways AI tools impact music production. In this paper we present a case study of "Melatonin", a song produced by extensive use of BassNet, an AI tool originally designed to generate bass lines. Through analysis of the artists' work flow and song project, we identify style characteristics of the song in relation to the affordances of the tool, highlighting manifestations of style in terms of both idiom and sound.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 5 of its 28 references that are in the map. First posted on arXiv 18 Aug 2022.

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5 of 28 references.

References · 5

  1. 2018CREPE: A Convolutional Representation for Pitch Estimationcited by 109
  2. 2016Music transcription modelling and composition using deep learningcited by 36
  3. 2020AI Song Contest: Human-AI Co-Creation in Songwritingcited by 25
  4. 2017Audio style transfercited by 15
  5. 2021An Exploratory Study on Perceptual Spaces of the Singing Voicecited by 3

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