DirectAudioEdit: Inversion-Free Text-Guided Audio Editing via Diffusion Prediction Contrast

• URL: http://arxiv.org/abs/2606.07356v1
• Date: Fri, 05 Jun 2026 15:04:22 GMT
• Title: DirectAudioEdit: Inversion-Free Text-Guided Audio Editing via Diffusion Prediction Contrast
• Abstract summary: We introduce DirectAudioEdit, the first attempt to develop a training-free and inversion-free method for audio editing.<n>Experiments show that DirectAudioEdit reduces macro-averaged FAD and KL by 15.9% and 15.8% compared with DDPM inversion, while achieving up to 64.5% editing speedup.
• Score: 48.769614659190445
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Text-guided audio editing aims to modify the language-specified acoustic content while preserving edit-irrelevant source components. Existing training-free methods typically rely on inversion-based editing. While inversion-free editing is appealing as it decreases computational overhead and reconstruction errors, it remains largely unexplored for audio editing. The key challenge is to construct a source-to-target editing path through diffusion denoising dynamics. In this paper, we introduce DirectAudioEdit, the first attempt to develop a training-free and inversion-free method for audio editing. Experiments on music and event-level benchmarks across two backbones show that DirectAudioEdit reduces macro-averaged FAD and KL by 15.9% and 15.8% compared with DDPM inversion, while achieving up to 64.5% editing speedup.

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