# Calliope: An Online Generative Music System for Symbolic Multi-Track Composition

arXiv: https://arxiv.org/abs/2504.14058 · HTML: https://mlsanity.com/paper/2504.14058/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- Builds on 6 of its 11 references that are in the map.
- First posted on arXiv 18 Apr 2025.

## Builds on (most cited first, 6 of 6)

- [A Hierarchical Latent Vector Model for Learning Long-Term Structure in Music](https://mlsanity.com/paper/1803.05428/) (2018)
- [MMM : Exploring Conditional Multi-Track Music Generation with the Transformer](https://mlsanity.com/paper/2008.06048/) (2020)
- [MorpheuS: generating structured music with constrained patterns and tension](https://mlsanity.com/paper/1812.04832/) (2018)
- [Quantifying Musical Style: Ranking Symbolic Music based on Similarity to a Style](https://mlsanity.com/paper/2003.06226/) (2020)
- [A Minimal Template for Interactive Web-based Demonstrations of Musical Machine Learning](https://mlsanity.com/paper/1902.03722/) (2019)
- [DeepDrum: An Adaptive Conditional Neural Network](https://mlsanity.com/paper/1809.06127/) (2018)

## Built on by (most cited first, 1 of 1)

- [Adaptable Symbolic Music Infilling with MIDI-RWKV](https://mlsanity.com/paper/2506.13001/) (2025)

## Abstract (arXiv)

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.