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.
Proof1 independent outlet
Key points
- 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.
- 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.
- That keeps both latency and inference cost low for a voice agent handling real traffic.
- Kokoro-82M runs in a custom container on a SageMaker AI real-time endpoint, on an ml.g5.xlarge GPU instance.
Sources (1)
- [1]Stream low-latency speech from AI agents using Kokoro TTS on Amazon SageMaker AIAWS Machine Learning Blog · Oct 22, 05:45 PM
A customer asks an AI voice agent a question and waits.
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.
Extractive summary: sentences quoted from the sources.
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