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

arXiv: https://arxiv.org/abs/2208.08968 · HTML: https://mlsanity.com/paper/2208.08968/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 5 of its 28 references that are in the map.
- First posted on arXiv 18 Aug 2022.

## Builds on (most cited first, 5 of 5)

- [CREPE: A Convolutional Representation for Pitch Estimation](https://mlsanity.com/paper/1802.06182/) (2018)
- [Music transcription modelling and composition using deep learning](https://mlsanity.com/paper/1604.08723/) (2016)
- [AI Song Contest: Human-AI Co-Creation in Songwriting](https://mlsanity.com/paper/2010.05388/) (2020)
- [Audio style transfer](https://mlsanity.com/paper/1710.11385/) (2017)
- [An Exploratory Study on Perceptual Spaces of the Singing Voice](https://mlsanity.com/paper/2111.08196/) (2021)

## 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.