Audio Editing
Overview
Audio editing changes particular qualities or events in recordings—such as words, speaker style, instruments, sound effects, or spatial placement—while aiming to keep unrelated content intact. Common approaches use diffusion or flow models for text-guided editing and inpainting, speech models for precise vocal changes, and latent audio tokens or signal-processing methods for localized control. Unified instruction-following systems increasingly combine audio understanding with generation, often using dialogue, reference audio, or visual context to guide edits. A central challenge is balancing the requested change with preservation of timing, identity, musical structure, and background, while benchmarks assess these goals separately and show that complex, compositional edits remain difficult.
Latest papers
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