Learning microrhythm in Uruguayan Candombe using transformers

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• dc.contributor.author Mishra, Anmol
• dc.contributor.author Prabhu, Satyajeet
• dc.contributor.author Haki, Behzad
• dc.contributor.author Rocamora, Martín
• dc.date.accessioned 2025-10-14T05:32:44Z
• dc.date.available 2025-10-14T05:32:44Z
• dc.date.issued 2025
• dc.description.abstract Musicians rely on nuanced microrhythm, slight variations in timing, dynamics, and other aspects, to create an expressive rhythmic feel in music performance. Electronic music production often attempts to replicate these qualities through algorithmic manipulations to achieve similar effects. In this work, we address the generation of microrhythm using a method that learns microtiming and dynamics from onset timing and strength annotations of drum performances. We frame microrhythm learning as a sequence modeling task, leveraging a Transformer-based model. Our focus is on Uruguayan candombe drumming, where we explore its rhythmic patterns at both the beat and rhythmic cycle levels. To evaluate the model’s effectiveness in replicating the original microrhythm, we compare the mean, standard deviation, and histogram intersection of timing deviations and dynamics values at each subdivision for the original and the generated data. The model is deployed as a VST enabling artists to incorporate candombe grooves into drum scores. With this work, we aim to bridge the gap between algorithmic rhythm creation and the expressive qualities of live performance, striving to produce music with the authentic grooves of various Latin American genres.
• dc.description.sponsorship This work was supported by “IA y Música: Cátedra en Inteligencia Artificial y Música” (TSI-100929-2023-1), funded by the Secretaría de Estado de Digitalización e Inteligencia Artificial, and the European Union-Next Generation EU, under the program “Cátedras ENIA 2022 para la creación de cátedras universidad-empresa en IA”.
• dc.format.mimetype application/pdf
• dc.identifier.citation Mishra A, Prabhu S, Haki B, Rocamora M. Learning microrhythm in Uruguayan Candombe using transformers. Paper presented at: Proceedings of the International Computer Music Conference (ICMC) 2025; 2025 June 8-14; Boston, USA. [Michigan]: Michigan Publishing; 2025. 5 p.
• dc.identifier.uri http://hdl.handle.net/10230/71492
• dc.language.iso eng
• dc.publisher Michigan Publishing
• dc.relation.ispartof Proceedings of the International Computer Music Conference (ICMC) 2025; 2025 June 8-14; Boston, USA. [Michigan]: Michigan Publishing; 2025.
• dc.rights Copyright: ©2025 Anmol Mishra et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License 3.0 Unported, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
• dc.rights.accessRights info:eu-repo/semantics/openAccess
• dc.rights.uri http://creativecommons.org/licenses/by/3.0
• dc.subject.keyword Microrhythm
• dc.subject.keyword Uruguayan Candombe
• dc.subject.keyword Transformers
• dc.title Learning microrhythm in Uruguayan Candombe using transformers
• dc.type info:eu-repo/semantics/conferenceObject
• dc.type.version info:eu-repo/semantics/publishedVersion