Towards Human-Like Interactive Speech Recognition With Agentic Correction and Semantic Evaluation 事件

Towards Human-Like Interactive Speech Recognition With Agentic Correction and Semantic Evaluation arXiv:2605.29430v1 Announce Type: cross Abstract: Automatic speech recognition (ASR) is a core component of human--computer interaction and an increasingly important front-end for LLM-based assistants and agents. However, most current ASR systems still follow a single-pass paradigm, which is poorly aligned with human communication, where misunderstandings are resolved through iterative clarificatio