Hamilton, Madeline
Pearce, Marcus
Funding for this research was provided by:
UKRI Centre for Doctoral Training in Artificial Intelligence and Music (EP/S022694/1)
Article History
Received: 17 October 2023
Accepted: 11 June 2024
First Online: 4 July 2024
Competing interests
: We thank Ana Clemente and Edward Hall for helping to encode the melodies in the BiMMuDa dataset. We are also grateful to Roger Dean and Daniel Müllensiefen for helpful comments on initial drafts. This work is funded by the UKRI Centre for Doctoral Training in Artificial Intelligence and Music (AIM) (EP/S022694/1). Madeline Hamilton curated the dataset and conceptualized, performed, and documented its analysis. Marcus Pearce provided guidance throughout the project and revised drafts of the article. The authors declare no conflict of interest.