Ready to Speak: Aligning LLMs for TTS-Friendly Text Generation

arXiv:2609.01246 · cs.CL · Submitted 2026-09-01 · Read on arXiv

cs.CL

Submitted: 2026-09-01

Updated: 2026-09-01

Code: https://github.com/naver/tts-friendly-gen

Terminology

• Alignment — 29× in this paper · explained in 1 episode
• GRPO — 15× in this paper · explained in 6 episodes
• Fine-Tuning — 11× in this paper · explained in 5 episodes
• Accuracy — 5× in this paper · explained in 1 episode
• Alignment Problem — 5× in this paper · explained in 1 episode
• Benchmark — 4× in this paper · explained in 2 episodes
• Feature-aware Reward Model — 4× in this paper
• Feature-aware Sampling and Tuning — 3× in this paper
• Interpretability — 3× in this paper · explained in 15 episodes
• LLM judge — 3× in this paper · explained in 2 episodes
• Core — 2× in this paper · explained in 2 episodes
• Generalization — 2× in this paper · explained in 13 episodes
• Grounding — 2× in this paper · explained in 3 episodes
• Redundancy — 2× in this paper · explained in 2 episodes
• Verifiable Rewards — 2× in this paper · explained in 2 episodes
• Actionability — 1× in this paper · explained in 3 episodes
• Alignment Methods — 1× in this paper · explained in 1 episode
• Alignment Techniques — 1× in this paper · explained in 1 episode
• Calibration — 1× in this paper · explained in 7 episodes
• Cognitive Load — 1× in this paper · explained in 2 episodes
• Commentary — 1× in this paper · explained in 2 episodes
• Decoupling — 1× in this paper · explained in 2 episodes
• Diffusion Model — 1× in this paper · explained in 8 episodes
• Diffusion Models — 1× in this paper · explained in 6 episodes
• Large Language Models (LLMs) — 1× in this paper · explained in 6 episodes
• Parameter Efficiency — 1× in this paper · explained in 3 episodes
• Reinforcement Learning — 1× in this paper · explained in 4 episodes
• Rejectionsampling Fine-Tuning — 1× in this paper
• Supervised Fine-Tuning (SFT) — 1× in this paper · explained in 8 episodes
• Tokenization — 1× in this paper · explained in 2 episodes
• Verification — 1× in this paper · explained in 2 episodes

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