"Calliope is a browser-based tool for co-creative multi-track music composition, developed by the Metacreation Lab. It supports multiple generative tasks, including bar-level in-filling, complete multi-track generation, rhythm and melody creation, harmonization, and chord progression generation. It enables both amateur and professional composers to create, edit, and generate MIDI directly in the browser, letting them experiment and explore new possibilities in musical phrasing."
"Calliope provides a flexible interface for advanced MIDI manipulation. Users can visualize tracks, apply generative edits, and export outputs as MIDI files or stream them in real time to a digital audio workstation (DAW). Composers can adjust parameters at both global (e.g., temperature) and track-specific levels (e.g., note density, polyphony range, note duration). They can add or remove tracks, limit generation to selected subsets, and use batch generation (5-1000 excerpts per request)."
"Built on Apollo-an interactive platform for corpus-based music algorithms-and integrating the Transformer-based Multi-Track Music Machine (MMM). The system is implemented with Node.js, HTML, CSS, and JavaScript, using MongoDB and connecting to MMM via a Python runtime. MMM's native Python interface handles batch generation, with processing times ranging from 3 seconds to 10 minutes depending on note density, enabling both scalable and interactive composition workflows."
Calliope is a browser-based tool for co-creative multi-track music composition that supports bar-level in-filling, complete multi-track generation, rhythm and melody creation, harmonization, and chord progression generation. Users can create, edit, and generate MIDI directly in the browser, visualize tracks, apply generative edits, and export MIDI files or stream output to a DAW in real time. Composers can adjust global parameters such as temperature and track-specific settings like note density, polyphony range, and note duration. The interface allows adding or removing tracks, limiting generation to selected subsets, and performing batch generation (5–1000 excerpts). MMM-powered backend enables batch generation with processing times from 3 seconds to 10 minutes.
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