Meet MusRec: Zero‑Shot Text‑to‑Music Editing for Real‑World Tracks
MusRec is a new AI model that edits existing songs using plain text—without task‑specific retraining.
Powered by rectified flow and diffusion transformers, it brings true zero‑shot, text‑guided edits to real‑world music (not just audio generated by the model itself).
- What it does: Apply diverse edits (e.g., “add a warm piano layer,” “make the drums punchier,” “shift to a lo‑fi vibe”) while keeping the song’s core intact.
- Why it matters: Tests show stronger preservation of musical content and structure, with higher editing fidelity than prior methods.
- Who benefits: Creators, game/film teams, and anyone personalizing tracks quickly.
“First zero-shot text-to-music editing model for real-world music.” — MusRec
By Ali Boudaghi and Hadi Zare. Paper: http://arxiv.org/abs/2511.04376v1
Paper: http://arxiv.org/abs/2511.04376v1
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AI Music Audio GenerativeAI Diffusion Transformers ZeroShot MusicTech AudioEditing Research