实时语音助手的工作原理：媒体基础设施与延迟
我一直在研究实时语音代理，并整理了一份关于我所学到的全栈知识的文章，包括WebRTC媒体传输、流式语音转文本（STT）、增量大语言模型（LLM）推理和文本转语音（TTS），以及延迟实际累积的地方。<p>这篇文章重点讨论了架构流程和在保持交互真正实时方面所涉及的实际权衡。<p>我很好奇其他人是如何设计和优化语音系统的。<p>https://gokuljs.com/blogs/real-time-voice-agent-infrastructure
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I’ve been working on real time voice agents and put together a write up of what I’ve learned about the full stack including WebRTC media transport, streaming STT, incremental LLM inference, and TTS, along with where latency actually accumulates.<p>The post focuses on the architectural flow and practical tradeoffs involved in keeping interactions truly real time.<p>Curious how others are designing and optimizing voice systems.<p>https://gokuljs.com/blogs/real-time-voice-agent-infrastructure