Transcript-Supervised Post-Training of Generative Speech Enhancement on Real Recordings via Reinforce Adjoint Matching

arXiv:2609.29405 · eess.AS, cs.LG · Submitted 2026-09-24 · Read on arXiv

eess.AS, cs.LG

Submitted: 2026-09-24

Updated: 2026-09-24

Terminology

• GRPO — 15× in this paper · explained in 6 episodes
• Reinforce Adjoint Matching — 6× in this paper
• Flow Matching — 5× in this paper · explained in 8 episodes
• Accuracy — 3× in this paper · explained in 1 episode
• Generative Model — 3× in this paper · explained in 2 episodes
• Adaptation — 2× in this paper · explained in 1 episode
• Domain Adaptation — 2× in this paper · explained in 5 episodes
• Fidelity — 2× in this paper · explained in 2 episodes
• Fine-Tuning — 2× in this paper · explained in 5 episodes
• Generalization — 2× in this paper · explained in 13 episodes
• Generative Modeling — 2× in this paper · explained in 3 episodes
• Generative Models — 2× in this paper · explained in 2 episodes
• Reinforcement Learning — 2× in this paper · explained in 4 episodes
• Alignment — 1× in this paper · explained in 1 episode
• Attention Mechanism — 1× in this paper · explained in 3 episodes
• Automatic Speech Recognition (ASR) — 1× in this paper · explained in 2 episodes
• Consistency — 1× in this paper · explained in 3 episodes
• Group Relative Policy Optimization — 1× in this paper
• Mitsubishi Electric Research Laboratories — 1× in this paper
• Online Reinforcement Learning — 1× in this paper · explained in 2 episodes
• Self-Supervised Learning — 1× in this paper · explained in 8 episodes
• Semantic Similarity — 1× in this paper · explained in 2 episodes
• Transformer — 1× in this paper · explained in 2 episodes

Sources

• DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
• Reinforce Adjoint Matching: Scaling RL Post-Training of Diffusion and Flow-Matching Models

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