VoiceAI: A Developer's Learning Path for Building Real-Time Voice Agents
By
mahimai
Hand-rolled, kettle-boiled, baked to perfection. Worth every minute at the bakery.
Summary
A curated, developer-friendly learning path for building real-time voice AI agents, covering the full stack from speech-to-text foundations to scaling production telephony systems. The resource outlines the modern voice AI stack converging around WebRTC/telephony transport, streaming pipelines (STT → LLM → TTS), and turn-taking models, structured to guide developers from fundamentals through frameworks to individual component mastery.
Key quotes
· 3 pulledVoice AI has moved from research demos into shipping product in under three years.
The modern stack is converging around a clear pattern: a real-time transport layer (WebRTC or telephony), a streaming pipeline of speech-to-text → LLM → text-to-speech, and a turn-taking model that decides when the agent should speak.
This list is structured to mirror that learning order — start with the foundations, pick a framework, then drill into individual components.
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