Voice Agent Pipeline Explained: VAD, STT, LLM & TTS

Описание: 👉 Sign up for LiveKit Cloud: https://cloud.livekit.io/signup?utm_s...

Dive into the architecture of real-time voice agents and build your first working assistant. This lesson breaks down the voice pipeline and shows you how to set up a complete voice agent in just a few minutes.

In this lesson, you'll learn:
How the voice pipeline works (VAD → STT → LLM → TTS)
Why latency matters and how to stay under 500ms response time
Why WebRTC is the right choice for real-time voice applications
How to set up your development environment with uv
How to configure your first voice agent with LiveKit

You'll build a starter agent that can listen and respond in real time using AssemblyAI for transcription, OpenAI GPT-4 for conversation, and Cartesia for natural-sounding speech.

*What you'll build:*
A working voice agent you can test in your terminal
VAD (Voice Activity Detection) integration
Noise cancellation with background voice cancellation
Real-time audio streaming with WebRTC

*Key concepts covered:*
Pipeline latency budgets and optimization
WebRTC vs HTTP vs WebSockets for voice
Opus codec and jitter buffering
Component selection and configuration

This is lesson 1 of the LiveKit Voice Agents workshop series. Perfect for developers who want to understand how production voice AI actually works under the hood.


📚 Resources 📚
Agent docs: https://docs.livekit.io/agents/?utm_s...
Written workshop: https://worksh.app/tutorials/livekit-...

🤝 Join the Community Slack: https://livekit.io/join-slack?utm_sou...

#livekit #ai #voiceai