MuseCPBench: an Empirical Study of Music Editing Methods through Music Context Preservation

arXiv:2512.14629 · cs.SD, cs.AI · Submitted 2026-08-18 · Read on arXiv

Yash Vishe, Eric Xue, Xunyi Jiang, Zachary Novack, Junda Wu, Julian McAuley, Xin Xu

cs.SD, cs.AI

Submitted: 2026-08-18

Updated: 2026-08-20

Code: https://github.com/facebookresearch/audiocraft

Terminology

• Music Context Preservation — 14× in this paper
• Benchmark — 6× in this paper · explained in 2 episodes
• Consistency — 6× in this paper · explained in 3 episodes
• Alignment — 5× in this paper · explained in 1 episode
• Transformer — 5× in this paper · explained in 2 episodes
• Accuracy — 4× in this paper · explained in 1 episode
• Diffusion Model — 4× in this paper · explained in 8 episodes
• Diffusion Models — 4× in this paper · explained in 6 episodes
• Information Gain — 4× in this paper · explained in 2 episodes
• Adjusted Rand Index — 3× in this paper
• Clustering — 2× in this paper · explained in 2 episodes
• Fidelity — 2× in this paper · explained in 2 episodes
• Latent Diffusion Model — 2× in this paper · explained in 2 episodes
• Latent Diffusion Models — 2× in this paper · explained in 2 episodes
• Core — 1× in this paper · explained in 2 episodes
• Dynamic Time Warping (DTW) — 1× in this paper · explained in 2 episodes
• Elias — 1× in this paper · explained in 2 episodes
• Feature Extraction — 1× in this paper · explained in 2 episodes
• Instruction Tuning — 1× in this paper · explained in 2 episodes
• Iterative Refinement — 1× in this paper · explained in 3 episodes

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