Prompt-guided Precise Audio Editing with Diffusion Models

Understand

Audio editing involves the arbitrary manipulation of audio content through precise control.

• Although text-guided diffusion models have made significant advancements in text-to-audio generation, they still face challenges in finding a flexible and precise way to modify target events within an audio track.
• We present a novel approach, referred to as PPAE, which serves as a general module for diffusion models and enables precise audio editing.
• The editing is based on the input textual prompt only and is entirely training-free.