Open AccessThe Ai Music Generation Challenge 2020: Double Jigs in the Style of O'Neill's ``1001''
Author(s) -
Bob L. Sturm,
Hugo Maruri-Aguilar
Publication year - 2021
Publication title -
journal of creative music systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.12
H-Index - 4
ISSN - 2399-7656
DOI - 10.5920/jcms.950
Subject(s) - benchmark (surveying) , computer science , style (visual arts) , artificial intelligence , music and artificial intelligence , musicology , visual arts , art , geodesy , geography
The Ai Music Generation Challenge 2020 had three objectives: 1) to promote meaningful approaches to evaluating artificial intelligence (Ai) applied to music;2) to see how music Ai research can benefit from considering traditional music, and how traditional music might benefit from music Ai research; and 3)to facilitate discussions about the ethics of music Ai research applied to traditional music practices.There were six participants and a benchmark in the challenge, each competing to build an artificial system that generates the most plausible double jigs, as judged against the 365 published in solved'', but that the evaluation of such systems can be done in meaningful ways.The article ends by reflecting on the challenge and considering the coming 2021 challenge.