AWS has introduced a method to reduce latency in AI voice agents by streaming speech synthesis as sentences are generated, rather than waiting for the entire response. This technique utilizes the Kokoro-82M text-to-speech model hosted on Amazon SageMaker AI, which is small enough to run efficiently on a single GPU instance. The solution involves deploying a custom container on a SageMaker real-time endpoint and implementing bidirectional streaming for both generation and audio playback. AI
IMPACT Enables more natural and responsive voice interactions with AI agents by reducing perceived latency.
RANK_REASON This is a technical guide and implementation detail for a specific AWS service, not a core AI model release or significant industry event.
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