Haki, BehzadNieto, MarinaPelinski, TeresaJordà Puig, Sergi2023-11-152023-11-152022Haki B, Nieto M, Pelinski T, Jordà S. Real-time drum accompaniment using transformer architecture. In: Proceedings of the 3rd Conference on AI Music Creativity (AIMC 2022); 2022 13-15 Sep; online. [s.l.]: AI Music Creativity; 2022. 10 p. DOI: 10.5281/zenodo.7088343http://hdl.handle.net/10230/58270Comunicació presentada a AIMC 2022, celebrada del 13 al 15 de setembre de 2022 en línia.This paper presents a real-time drum generation system capable of accompanying a human instrumentalist. The drum generation model is a transformer encoder trained to predict a short drum pattern given a reduced rhythmic representation. We demonstrate that with certain design considerations, the short drum pattern generator can be used as a real-time accompaniment in musical sessions lasting much longer than the duration of the training samples. A discussion on the potentials, limitations and possible future continuations of this work is provided.application/pdfengCreative Commons Attribution 4.0 Internationalinfo:eu-repo/semantics/conferenceObjecthttp://dx.doi.org/10.5281/zenodo.7088343info:eu-repo/semantics/openAccess