用 Kokoro TTS 在 Amazon SageMaker AI 上实现语音智能体流式低延迟合成
Stream low-latency speech from AI agents using Kokoro TTS on Amazon SageMaker AI
教你在 SageMaker 上部署 Kokoro-82M，边生成边合成语音，用 SSE 或二进制流推到浏览器，做语音智能体的可以照着搭。
语音智能体通常要等智能体生成完整回复后才开始语音合成，用户能直接感知这段延迟。这篇 AWS 机器学习博客演示了如何在智能体逐句生成回复的同时，把每句话流式送入部署在 Amazon SageMaker AI 上的 Kokoro-82M 文本转语音模型。音频通过 Server-Sent Events 或统一的二进制传输回传到浏览器，从而降低端到端等待时间。
Stream low-latency speech from AI agents using Kokoro TTS on Amazon SageMaker AI
Voice agents often wait for an agent's full response before starting speech synthesis, adding latency users feel directly. This post shows how to stream each sentence to a Kokoro-82M text-to-speech model on Amazon SageMaker AI as the agent produces it, and how to get that audio back to a browser over Server-Sent Events or a unified binary transport.
