A coarse-to-fine hybrid MMDiT/DiT audio editor trained with rectified flow matching improves fidelity and cuts edit time versus prior instruction-guided baselines on synthetic overlapping-event tasks.
Text-to-audio gen- eration using instruction guided latent diffusion model,
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RFM-Editing 2: Text-Guided Audio Editing with Rectified Flow Matching and Coarse-to-Fine Diffusion Transformers
A coarse-to-fine hybrid MMDiT/DiT audio editor trained with rectified flow matching improves fidelity and cuts edit time versus prior instruction-guided baselines on synthetic overlapping-event tasks.