Calliope: An Online Generative Music System for Symbolic Multi-Track Composition
Abstract
With the rise of artificial intelligence in recent years, there has been a rapid increase in its application towards creative domains, including music. There exist many systems built that apply machine learning approaches to the problem of computer-assisted music composition (CAC). Calliope is a web application that assists users in performing a variety of multi-track composition tasks in the symbolic domain. The user can upload (Musical Instrument Digital Interface) MIDI files, visualize and edit MIDI tracks, and generate partial (via bar in-filling) or complete multi-track content using the Multi-Track Music Machine (MMM). Generation of new MIDI excerpts can be done in batch and can be combined with active playback listening for an enhanced assisted-composition workflow. The user can export generated MIDI materials or directly stream MIDI playback from the system to their favorite Digital Audio Workstation (DAW). We present a demonstration of the system, its features, generative parameters and describe the co-creative workflows that it affords.
Cite
@article{arxiv.2504.14058,
title = {Calliope: An Online Generative Music System for Symbolic Multi-Track Composition},
author = {Renaud Bougueng Tchemeube and Jeff Ens and Philippe Pasquier},
journal= {arXiv preprint arXiv:2504.14058},
year = {2025}
}
Comments
5 pages, 5 figures, first published at the 13th International Conference on Computational Creativity (ICCC 2022), Bozen-Bolzano, Italy