How to Build a Real-Time Duplex Voice AI Assistant (Whisper + ElevenLabs + WebSockets)
Latency is the singular bottleneck in natural voice conversational computing. Eliminating walkie-talkie pauses requires streaming every pipeline component asynchronously via full-duplex WebSockets.
AM LABLatency Budgeting for Sub-500ms Response Times
Orchestrating concurrent STT (Deepgram/Whisper), fast LLM generation, and streaming neural TTS (ElevenLabs/Kokoro) achieves natural conversational cadence.
Real-Time Interruption Detection with Silero VAD
Barge-in capabilities utilize 30ms neural Voice Activity Detection frames to instantly mute audio playback and flush generation queues upon human speech onset.
Asynchronous WebSocket Dispatcher
Deploy a production Python WebSocket audio router handling bidirectional PCM stream multiplexing.
Silicon Telemetry & Production Verification
vllm serve voice-ai-assistant-whisper-elevenlabs-guide --tensor-parallel-size 4 --gpu-memory-utilization 0.95 --max-model-len 32768 --kv-cache-dtype fp8
Artur Moiseyev
AI Systems Architect
Independent AI Researcher and Distributed Systems Architect. Building autonomous multi-agent workflows, open reasoning models, and real-time inference infrastructure.
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