๐๏ธIโve been diving deep into Voice AI Agents and decided to map out how they actually work.
You know when you ask Alexa or ChatGPT Voice a question and it justโฆ responds intelligently?
Thereโs a lot happening in that split second.
How do voice agents work?
At a high level, every voice agent needs to handle three tasks:
๐Listen - capture audio and transcribe it
๐Think - interpret intent, reason, plan
๐Speak - generate audio and stream it back to the user
A Voice AI Agent typically goes through five core stages:
๐นSpeech is converted to text (ASR).
๐นThe system understands intent and entities (NLU).
๐นIt reasons about what action to take (Dialog Manager / Agent Logic).
๐นIt generates a response (NLG).
๐นSpeaks it back naturally (TTS).
This same agent-style architecture powers Alexa, Siri, Google Assistant, and modern LLM-based voice agents like ChatGPT Voice.
I put together a diagram to visualize the full end-to-end pipeline behind Voice AI Agents - from speech input to intelligent action and response.
Iโm planning to break down each component and share more on how agent-based voice systems are built.
Which Voice AI agent do you interact with the most?
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