Agentic Music Post-Production
We introduce MixAgent, an agentic pipeline for music post-production that follows the workflow of audio engineers to build interpretable and editable mixing plans guided by a reference song.
ProofPaper ↗
Key points
- A grouping agent first routes related input tracks, such as drum recordings, into subgroups.
- A planning agent then uses retrieved examples to choose and order audio effects, such as volume control and reverb, for tracks, subgroups, and the full mix.
- We therefore build MixCritic, a dataset of 45,657 repair critiques derived from parameters fitted to professional mixes, and train the critic with supervised fine-tuning followed by preference optimization on rendered audio outcomes.
- Retrieved examples further improve effects selection, and a human listening test shows that MixAgent gets higher quality ratings than mixes produced by Qwen3-Omni, Gemini 3.8 Flash and GPT-4o-audio.
Sources (1)
- [1]Agentic Music Post-ProductionarXiv (AI, ML, NLP, CV, robotics, multi-agent) · Oct 21, 02:36 AM
We introduce MixAgent, an agentic pipeline for music post-production that follows the workflow of audio engineers to build interpretable and editable mixing plans guided by a reference song.
A grouping agent first routes related input tracks, such as drum recordings, into subgroups.
Extractive summary: sentences quoted from the sources.
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