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Achieving Sub-200ms Latency in Conversational Voice AI

Exploring streaming neural acoustic codecs, WebSocket duplexing, and zero-shot voice synthesis for natural human-like voice conversations.

June 12, 2026
4 min read
Dr. Aris Thorne
Dr. Aris Thorne
Head of Voice AI
Achieving Sub-200ms Latency in Conversational Voice AI

## The Conversational Latency Barrier

Human conversation has a natural turn-taking pause of **200ms to 300ms**. Traditional Voice AI pipelines with STT -> LLM -> TTS take **1.5s to 3s**, making interaction feel robotic and awkward.

Streaming Acoustic Tokens

By combining continuous streaming ASR with direct neural token-to-speech generation over WebSocket duplex channels, IntelliForceAI Voice AI reduces end-to-end latency to **180ms**.

#Voice AI#WebSockets#Neural Codec#Speech
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