2026-04-17T19:22:24Zhttps://recercat.cat/oai/request

oai:recercat.cat:10230/715062025-10-16T22:03:33Zcom_2072_6col_2072_452952

2025-10-16T22:03:33Z urn:hdl:10230/71506 Exploring situated stabilities of a rhythm generation system through variational cross-examination Kotowski, Błażej Evans, Nicholas Haki, Behzad Font Corbera, Frederic Jordà Puig, Sergi Human-computer interaction Artificial intelligence Sound Audio and speech processing This paper investigates GrooveTransformer, a real-time rhythm generation system, through the postphenomenological framework of Variational Cross-Examination (VCE). By reflecting on its deployment across three distinct artistic contexts, we identify three stabilities: an autonomous drum accompaniment generator, a rhythmic control voltage sequencer in Eurorack format, and a rhythm driver for a harmonic accompaniment system. The versatility of its applications was not an explicit goal from the outset of the project. Thus, we ask: how did this multistability emerge? Through VCE, we identify three key contributors to its emergence: the affordances of system invariants, the interdisciplinary collaboration, and the situated nature of its development. We conclude by reflecting on the viability of VCE as a descriptive and analytical method for Digital Musical Instrument (DMI) design, emphasizing its value in uncovering how technologies mediate, co-shape, and are co-shaped by users and contexts. This research was funded by (1) the Secretaría de Estado de Digitalización e Inteligencia Artificial, and the European Union-Next Generation EU, under the program Cátedras ENIA 2022. "IA y Música: Cátedra en Inteligencia Artificial y Música" (Reference: TSI-100929-2023-1), (2) the Maria de Maeztu Strategic Research Program (CEX2021-001195-M) and (3) the IMPA Project PID2023-152250OB-I00 funded by MCIU/AEI/10.13039/501100011033/FEDER, UE. 2025-10-16T22:03:33Z 2025-10-16T22:03:33Z 2025-10-14T13:02:42Z 2025-10-14T13:02:42Z 2025 info:eu-repo/semantics/conferenceObject info:eu-repo/semantics/publishedVersion http://hdl.handle.net/10230/71506 6th Conference on AI Music Creativity (AIMC 2025); 2025 Sep 10-12; Brussels, Belgium. info:eu-repo/grantAgreement/ES/3PE/PID2023-152250OB-I00 Copyright © 2025 The Authors. Creative Commons Attribution 4.0 International http://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess AI Music Creativity