Building a Sub-500ms Latency Voice Agent: Technical Architecture and Implementation
By
nicktikhonov
An everything bagel for the brain. Substantive, layered, well-seasoned.
Summary
Nick Tikhonov shares his technical journey building a sub-500ms latency voice agent from scratch, detailing the challenges of achieving real-time voice interactions with AI. He explains why existing platforms like OpenAI's Whisper and ElevenLabs weren't sufficient for his needs, and walks through his custom solution using WebRTC, WebSockets, and a custom audio pipeline. The article covers technical architecture, latency optimization techniques, and practical implementation details for developers interested in building low-latency voice AI systems.
Key quotes
· 5 pulledI've spent the last six months working on a startup, building agent prototypes for one of the largest consumer packaged goods companies in the world.
The technical takeaway was clear: voice agents are still too slow for real-time conversations.
I built a voice agent from scratch that achieves sub-500ms latency end-to-end, including speech recognition, LLM processing, and speech synthesis.
The key insight is that you need to build your own audio pipeline to achieve truly low latency.
WebRTC is the only technology that gives you sub-100ms audio transmission over the internet.
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