Synthesis and editing of multi-instrument audio mixtures using scalar-quantised latents with MIDI Span conditioning

arXiv:2609.25546 · cs.SD, cs.LG, eess.AS · Submitted 2026-09-22 · Read on arXiv

cs.SD, cs.LG, eess.AS

Submitted: 2026-09-22

Updated: 2026-09-22

Comments: 13 pages including appendices, 2 figures. Submitted to ICASSP 2027

Project page: https://mimbres.github.io/spansynth-edit

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Flow Matching — 7× in this paper · explained in 8 episodes
• Ablation — 5× in this paper · explained in 1 episode
• Transformer — 5× in this paper · explained in 2 episodes
• Benchmark — 4× in this paper · explained in 2 episodes
• Ground Truth — 4× in this paper
• Embeddings — 3× in this paper · explained in 2 episodes
• Diffusion Model — 2× in this paper · explained in 8 episodes
• Diffusion Models — 2× in this paper · explained in 6 episodes
• Iterative Refinement — 2× in this paper · explained in 3 episodes
• Adam — 1× in this paper · explained in 2 episodes
• Annotation Errors — 1× in this paper · explained in 1 episode
• Cosine Similarity — 1× in this paper · explained in 3 episodes
• Fidelity — 1× in this paper · explained in 2 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• Foundation Model — 1× in this paper · explained in 3 episodes
• Foundation Models — 1× in this paper · explained in 7 episodes
• Generative Modeling — 1× in this paper · explained in 3 episodes
• Instruction Tuning — 1× in this paper · explained in 2 episodes
• Quantization — 1× in this paper · explained in 12 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• Transformer Architecture — 1× in this paper · explained in 2 episodes
• Unified Framework — 1× in this paper · explained in 5 episodes

Sources

• High Fidelity Text-Guided Music Editing via Single-Stage Flow Matching
• P-MUSE: Prompt-MIDI-Optional Model for Unified Instrumental Music Synthesis and Editing
• HeartMuLa: A Family of Open Sourced Music Foundation Models
• MuQ-Eval: An Open-Source Per-Sample Quality Metric for AI Music Generation Evaluation

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