Stream low-latency speech from AI agents using Kokoro TTS on Amazon SageMaker AI
TL;DR
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.
Nauti's Take
The practical test is the pipeline from sentence completion to TTS invocation and browser playback. Small teams should measure model startup, network travel time, and awkward sentence boundaries before adopting the pattern in production.
AWS provides a plausible reference implementation, while the real decision depends on latency and audio quality under the team’s own dialogue and load patterns.
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