Corrective Forcing: Unified Post-Training for Diffusions and Flows in Generative Speech Enhancement

Diffusion and flow models, as promising generative paradigms for speech enhancement, face a training--inference mismatch: training uses analytical path states, whereas inference recursively evaluates models on self-generated rollout states along discretized sampling trajectories. This mismatch cause