Dr Mark Gotham mark.r.gotham@durham.ac.uk
Assistant Professor
Dr Mark Gotham mark.r.gotham@durham.ac.uk
Assistant Professor
Rainer Kleinertz
Christof Weiß
Meinard Müller
Stephanie Klauk
Jin Ha Lee
Editor
Alexander Lerch
Editor
Zhiyao Duan
Editor
Juhan Nam
Editor
Preeti Rao
Editor
Peter van Kranenburg
Editor
Ajay Srinivasamurthy
Editor
This paper uses the emerging provision of human harmonic analyses to assess how reliably we can map from knowing only when chords and keys change to a full identification of what those chords and keys are. We do this with a simple implementation of pitch class profile matching methods, partly to provide a benchmark score against which to judge the performance of less readily interpretable machine learning systems, many of which explicitly separate these when and what tasks and provide performance evaluation for these separate stages. Additionally, as this 'oracle'-style, 'perfect' segmentation information will not usually be available in practice, we test the sensitivity of these methods to slight modifications in the position of segment boundaries by introducing deliberate errors. This study examines several corpora. The focus on is symbolic data, though we include one audio dataset for comparison. The code and corpora (of symbolic scores and analyses) are available within: https://github.com/MarkGotham/When-in-Rome
Gotham, M., Kleinertz, R., Weiß, C., Müller, M., & Klauk, S. (2021). What if the 'When' Implies the 'What'?: Human harmonic analysis datasets clarify the relative role of the separate steps in automatic tonal analysis. In J. H. Lee, A. Lerch, Z. Duan, J. Nam, P. Rao, P. V. Kranenburg, & A. Srinivasamurthy (Eds.), Proceedings of the 22nd International Society for Music Information Retrieval Conference (229-236)
Conference Name | ISMIR 2021: 22nd International Society for Music Information Retrieval Conference |
---|---|
Conference Location | Online |
Start Date | Nov 7, 2021 |
End Date | Nov 12, 2021 |
Acceptance Date | Jun 1, 2021 |
Online Publication Date | Nov 7, 2021 |
Publication Date | 2021 |
Deposit Date | Feb 29, 2024 |
Pages | 229-236 |
Series Title | Proceedings of the 22nd International Conference on Music Information Retrieval, ISMIR 2021 |
Book Title | Proceedings of the 22nd International Society for Music Information Retrieval Conference |
ISBN | 9781732729902 |
Public URL | https://durham-repository.worktribe.com/output/2273222 |
Publisher URL | https://www.ismir.net/conferences/ismir2021.html |
Chromatic Chords in Theory and Practice
(2023)
Conference Proceeding
Musical Micro-Timing for Live Coding
(2023)
Conference Proceeding
Musical Genre Recognition Based on Deep Descriptors of Harmony, Instrumentation, and Segments
(2023)
Conference Proceeding
About Durham Research Online (DRO)
Administrator e-mail: dro.admin@durham.ac.uk
This application uses the following open-source libraries:
Apache License Version 2.0 (http://www.apache.org/licenses/)
Apache License Version 2.0 (http://www.apache.org/licenses/)
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search