When in Rome: A Meta-corpus of Functional Harmony

Gotham, Mark; Micchi, Gianluca; López, Néstor Nápoles; Sailor, Malcolm

Abstract

‘When in Rome’ brings together all human-made, computer-encoded, functional harmonic analyses of music. This amounts in total to over 2,000 analyses of 1,500 distinct works. The most obvious motivation is scale: gathering these datasets together leads to a corpus large and varied enough for tasks including machine learning for automatic analysis, composition, and classification, as well as at-scale anthology creation and more. Further benefits include bringing together a range of different composers and genres (previous datasets typically limit themselves to one context), and of analytical perspectives on those works. We offer this data in as ready-to-use and reproducible a state as possible at http://github.com/MarkGotham/When-in-Rome, with code and documentation for all tasks reported here, including corpus conversion routines and feature extraction.

Citation

Gotham, M., Micchi, G., López, N. N., & Sailor, M. (2023). When in Rome: A Meta-corpus of Functional Harmony. Transactions of the International Society for Music Information Retrieval, 6(1), 150-166. https://doi.org/10.5334/tismir.165

• Journal Article Type: Article
• Acceptance Date: Jul 31, 2023
• Online Publication Date: Nov 30, 2023
• Publication Date: 2023
• Deposit Date: Dec 1, 2023
• Publicly Available Date: Dec 1, 2023
• Journal: Transactions of the International Society for Music Information Retrieval
• Electronic ISSN: 2514-3298
• Publisher: Ubiquity Press
• Peer Reviewed: Peer Reviewed
• Volume: 6
• Issue: 1
• Pages: 150-166
• DOI: https://doi.org/10.5334/tismir.165
• Keywords: Music; Analysis; Harmony; Corpus; Coordination; Crowd-sourcing
• Public URL: https://durham-repository.worktribe.com/output/1964925