在 Amazon SageMaker AI 上使用 Kokoro TTS 为 AI 代理流式输出低延迟语音
原标题：Stream low-latency speech from AI agents using Kokoro TTS on Amazon SageMaker AI
AI 摘要
AWS 机器学习博客发布技术教程，介绍如何在 Amazon SageMaker AI 上托管 Kokoro-82M 文本转语音模型，通过逐句流式合成降低 AI 语音代理的响应延迟。方案使用自定义容器和双向 WebSocket 传输，在代理生成每个句子时立即合成音频，而非等待完整回复。文章还详细说明了 WebSocket 帧类型处理和会话保持等实现细节。
正文节选
Stream low-latency speech from AI agents using Kokoro TTS on Amazon SageMaker AI A customer asks an AI voice agent a question and waits. The agent already has an answer, it’s midway through generating a long, multi-paragraph response, but the customer hears nothing for five seconds. By the time an answer arrives, the customer is frustrated, confused, and no longer paying attention. Text-to-speech integrations create exactly that gap. A one-sentence response might generate in 600 milliseconds, bu