Speech LLMs stop pooling at a fixed frame rate: a learned boundary policy cuts English audio tokens by about a quarter
ASSET trains a speech encoder's segment boundaries with reinforcement learning, reaching recognition close to a transcript-assisted character-boundary oracle on LibriSpeech with roughly 25% fewer audio tokens.