Artificial Intelligence #freesonic#audio editing
FreeSonic: Training-Free Audio Editing Framework Balances Background Preservation with Temporal Consistency
Researchers propose FreeSonic, a training-free framework leveraging the Rectified Flow-based TangoFlux model for precise audio editing. It uses an optimized inversion-reverse process and joint text-audio attention maps for target segment extraction, with scheduled attention decoupling to preserve background context. The method demonstrates high-fidelity, efficient audio editing including removal and non-rigid replacement.
Jun 16, 2026 1 source