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Main Authors:	Tchemeube, Renaud Bougueng, Ens, Jeff, Pasquier, Philippe
Format:	Preprint
Published:	2025
Subjects:	Human-Computer Interaction Machine Learning Sound
Online Access:	https://arxiv.org/abs/2504.14058
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author	Tchemeube, Renaud Bougueng Ens, Jeff Pasquier, Philippe
author_facet	Tchemeube, Renaud Bougueng Ens, Jeff Pasquier, Philippe
contents	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.
format	Preprint
id	arxiv_https___arxiv_org_abs_2504_14058
institution	arXiv
publishDate	2025
record_format	arxiv
spellingShingle	Calliope: An Online Generative Music System for Symbolic Multi-Track Composition Tchemeube, Renaud Bougueng Ens, Jeff Pasquier, Philippe Human-Computer Interaction Machine Learning Sound 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.
title	Calliope: An Online Generative Music System for Symbolic Multi-Track Composition
topic	Human-Computer Interaction Machine Learning Sound
url	https://arxiv.org/abs/2504.14058

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