📄 中文摘要
传统的语音AI体验往往让人感觉像是在与呼叫中心的机器人对话，用户说出内容后需要等待几秒钟才能得到回复，造成的延迟严重影响了交互的自然性。为了解决这一问题，开发者通过将Twilio Media Streams与OpenAI的实时API直接连接，构建了一种能够实现近乎人类响应时间的语音代理。传统的语音AI通常采用语音识别、语言模型和语音合成三步流程，每一步都增加了延迟，而OpenAI的实时API则通过简化流程显著降低了响应时间，提供了更流畅的对话体验。
低于200毫秒的语音AI：连接Twilio与OpenAI实时API
出处: Sub-200ms Voice AI: Bridging Twilio and OpenAI Realtime API
发布: 2026年3月14日
📄 English Summary
Sub-200ms Voice AI: Bridging Twilio and OpenAI Realtime API
The traditional voice AI experience often resembles conversing with a call center robot, where users speak and then wait several seconds for a response, which severely hampers the naturalness of interaction. To address this issue, a developer built a voice agent capable of near-human response times by bridging Twilio Media Streams directly to OpenAI's Realtime API. The conventional approach involves a three-step pipeline: Speech-to-Text, LLM, and Text-to-Speech, each adding latency. OpenAI's Realtime API simplifies this process, significantly reducing response times and offering a smoother conversational experience.