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

arXiv:2609.24651 · cs.LG, cs.AI · Submitted 2026-09-21 · Read on arXiv

cs.LG, cs.AI

Submitted: 2026-09-21

Updated: 2026-09-21

Comments: Submitted to ICASSP 2027

Project page: https://yorch233.github.io/CoF

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Fidelity — 9× in this paper · explained in 2 episodes
• Consistency — 8× in this paper · explained in 3 episodes
• Generative Model — 6× in this paper · explained in 2 episodes
• Flow Matching — 5× in this paper · explained in 8 episodes
• Exposure Bias — 4× in this paper · explained in 2 episodes
• Fine-Tuning — 3× in this paper · explained in 5 episodes
• Optimal Transport — 3× in this paper · explained in 5 episodes
• Ablation — 2× in this paper · explained in 1 episode
• Ablation study — 2× in this paper · explained in 1 episode
• Benchmark — 2× in this paper · explained in 2 episodes
• Counterfactual Transition Consistency — 2× in this paper
• Generalization — 2× in this paper · explained in 13 episodes
• Generative Models — 2× in this paper · explained in 2 episodes
• Accuracy — 1× in this paper · explained in 1 episode
• Adam — 1× in this paper · explained in 2 episodes
• Correcting the Reverse Process — 1× in this paper
• Diffusion Model — 1× in this paper · explained in 8 episodes
• Diffusion Models — 1× in this paper · explained in 6 episodes
• Distribution Shift — 1× in this paper · explained in 6 episodes
• Dynamic Rollout Correction — 1× in this paper
• Exponential Moving Average (EMA) — 1× in this paper · explained in 2 episodes
• Generative Modeling — 1× in this paper · explained in 3 episodes
• Regret — 1× in this paper · explained in 3 episodes
• Regularization — 1× in this paper · explained in 3 episodes
• Stochastic Dynamics — 1× in this paper · explained in 2 episodes
• Transfer Learning — 1× in this paper · explained in 10 episodes

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