# Stream low-latency speech from AI agents using Kokoro TTS on Amazon SageMaker AI

> **Publication**: aitalky (Independent AI Journalism)
> **Canonical Citation URL**: https://aitalky.vercel.app/news/stream-low-latency-speech-from-ai-agents-using-kokoro-tts-on-amazon-sagemaker-ai
> **Original Source**: [AWS ML Blog](https://aws.amazon.com/blogs/machine-learning/stream-low-latency-speech-from-ai-agents-using-kokoro-tts-on-amazon-sagemaker-ai/)
> **Author**: Joseph Cottingham (undefined)
> **Published Date**: Thursday, October 22, 2026
> **Category**: INDUSTRY
> **Tags**: AI, AWS ML Blog, industry

## Executive Summary
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...



## Full Coverage
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, but the full response takes five seconds, and the integration waits for all of it before synthesis starts

This post shows how to close that gap. We stream each sentence to a hosted Kokoro-82M text-to-speech (TTS) model on Amazon SageMaker AI as soon as an agent produces it, so synthesis begins on sentence one instead of the finished response. Getting that audio back to a browser needs its own solution too, so we also cover both transports for doing it and what each costs in practice

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