Cartesia | 语音 AI 模型选型指南
轮次检测（turn detection），又称端点检测（endpoint detection），用于判断用户何时结束发言。由于语音转文本（STT）模型缺乏人类对话中依赖的视觉或其他上下文线索，准确实现轮次检测非常困难。高质量的轮次检测对对话式AI至关重要：检测质量差会导致语音代理出现长时间尴尬停顿，并显著拉高响应延迟。
原始摘录
Turn-detection is also known as end pointing – because it refers to detecting when the user has finished their turn. It is extremely hard to do accurately as Speech to Text models do not have visual or other cues like humans do in conversation. That makes high-quality turn detection incredibly important for conversational AI - poor turn detection results in very long awkward pauses and high latency in the voice agent’s conversation.