CoComposer: LLM Multi-agent Collaborative Music Composition
August 29, 2025 ยท Declared Dead ยท ๐ arXiv.org
"No code URL or promise found in abstract"
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Authors
Peiwen Xing, Aske Plaat, Niki van Stein
arXiv ID
2509.00132
Category
cs.SD: Sound
Cross-listed
cs.AI,
cs.MM,
eess.AS
Citations
0
Venue
arXiv.org
Last Checked
4 months ago
Abstract
Existing AI Music composition tools are limited in generation duration, musical quality, and controllability. We introduce CoComposer, a multi-agent system that consists of five collaborating agents, each with a task based on the traditional music composition workflow. Using the AudioBox-Aesthetics system, we experimentally evaluate CoComposer on four compositional criteria. We test with three LLMs (GPT-4o, DeepSeek-V3-0324, Gemini-2.5-Flash), and find (1) that CoComposer outperforms existing multi-agent LLM-based systems in music quality, and (2) compared to a single-agent system, in production complexity. Compared to non- LLM MusicLM, CoComposer has better interpretability and editability, although MusicLM still produces better music.
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