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The original was posted on /r/homeassistant by /u/HanzoHuang on 2026-07-09 15:52:58+00:00.

I’ve been experimenting with running a complete Home Assistant voice pipeline on an RK3576 SBC, and I’m happy with how well it performs.

Everything runs 100% locally:

• 🎙️ STT: Whisper
• 🧠 LLM: Qwen2.5-1.5B-Instruct
• 🔊 TTS: Piper

All three models are accelerated by the RK3576 NPU.

Goals

• No cloud services
• No API keys
• No internet required
• Voice data never leaves the device
• Low latency
• Docker Compose deployment

The voice pipeline integrates with Home Assistant using Wyoming services, while the local LLM is exposed through an OpenAI-compatible API.

Starting the entire stack is simply:

docker compose up -d

Once running, Home Assistant connects to the local STT, TTS, wake word, and LLM services just like any other local Assist pipeline.

Some example commands:

• “Turn on the office light.”
• “Set the desk lamp to 30 percent.”
• “What’s on my calendar today?”
• “Lock the front door.”

The project is open source:

GitHub: https://github.com/Hanzo-Huang/rk3576-home-assistant-voice

I also wrote a detailed build guide that covers the architecture, Docker Compose deployment, and Home Assistant configuration:

Hackster: https://www.hackster.io/h1300923175/make-home-assistant-voice-fully-local-with-rk3576-50b4de

I’d love to hear feedback, especially from anyone else experimenting with Rockchip NPUs or fully local Home Assistant voice setups.