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arXiv · 2611.08695

FoleyForge: Free-form, Controllable, Rectified-flow Editing of Sound Effects

Giovana Morais·Hugo Flores García·Prem Seetharaman·Johannes Imort·Justin Salamon·Magdalena Fuentes·Oriol Nieto
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Abstract

We present FoleyForge, a generative model for instruction-based editing of sound effects. Given an input clip and a free-form instruction describing the desired change, it applies the edit while preserving the input's identity. A single model handles semantic, stylistic, and DSP-like changes. We introduce a data pipeline that guides an audio language model to author both DSP-based acoustic edits and similarity-preserving semantic edits, thus addressing the lack of publicly available audio editing data. Such data is then used to fine-tune a rectified-flow audio generation model, which we extend to expose attribute controls for loudness change, edit strength, and an input-derived contour envelope, each tunable via classifier-free guidance, yielding a more expressive editing model. FoleyForge achieves state-of-the-art instruction adherence at competitive audio quality and source faithfulness.

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Giovana Morais, Hugo Flores García, Prem Seetharaman, Johannes Imort, Justin Salamon, Magdalena Fuentes, Oriol Nieto. 2026-11-05. FoleyForge: Free-form, Controllable, Rectified-flow Editing of Sound Effects. https://arxiv.org/abs/2611.08695

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