Voice Agent Pipeline Explained: VAD, STT, LLM & TTS скачать в хорошем качестве

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

👉 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://livekit.worksh.app/tutorials/... 🤝 Join the Community Slack: https://livekit.io/join-slack?utm_sou... #livekit #ai #voiceai