Voice Assistant Architecture Diagram
A voice assistant architecture diagram traces the pipeline from spoken audio input to generated speech output, covering recognition, understanding, and synthesis stages. It's valuable for teams building conversational AI products. Tip: highlight the session/context store since maintaining state is often what separates a good assistant from a frustrating one.
The prompt behind this diagram
Create a voice assistant architecture diagram showing a Microphone Input, an Audio Preprocessing step (noise reduction), a Speech Recognition (ASR) module converting audio to text, a Natural Language Understanding module extracting intent and entities, a Dialogue Manager deciding the response strategy, a Text Generation (LLM) module composing a reply, a Text-to-Speech (TTS) engine converting the reply to audio, and a Speaker Output. Include a Context/Session Store connected to the Dialogue Manager for maintaining conversation state across turns.
Paste your own description (or Terraform / docker-compose / SQL schema) into draft1 and get a diagram like this for your exact system.
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