Abstract
This article describes and analyses the Ai Music Generation Challenge 2020, where seven participants competed to build artificial systems that generate the most plausible double jigs, as judged against the 365 published in The Dance Music of Ireland: O'Neill's 1001 (1907). The outcomes of this challenge demonstrate how music generation systems can be meaningfully evaluated, and furthermore that the generation of plausible double jigs has yet to be "solved". The article ends by reflecting on the challenge and considers the coming 2021 challenge, focused on a form of Swedish traditional dance music.
Keywords
artificial intelligence, machine learning, evaluation, folk music
How to Cite
Sturm, B. & Maruri-Aguilar, H., (2021) “The Ai Music Generation Challenge 2020: Double Jigs in the Style of O'Neill's ``1001''”, Journal of Creative Music Systems 5(1). doi: https://doi.org/10.5920/jcms.950
Funding
- Human Behaviour and Machine Intelligence (HUMAINT); and ERC-2019-COG No. 864189 MUSAiC: Music at the Frontiers of Artificial Creativity and Criticism
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