Audio Assistant: Build a Local Voice Assistant with Home Assistant and Whisper

๐Ÿ“˜ Tutorials 2026-08-06 2 min read

An audio assistant you control: local voice input, Wake Word detection, and LLM answers. We show the Home Assistant + Whisper + Ollama stack.

💡 What You Will Learn

An audio assistant you control: local voice input, Wake Word detection, and LLM answers. We show the Home Assistant + Whisper + Ollama stack.

📜 Table of Contents

Big-tech voice assistants listen, log, and serve ads. A local audio assistant does the same job with none of that: wake word on-device, speech-to-text with Whisper, answers from a local LLM, and your data never leaves the house.

The Stack

Home Assistant (open source) is the brain: it integrates wake-word detection, media players, and automations. For speech-to-text, Wyoming protocol integrations wrap faster-whisper (24,776 stars) or whisper.cpp (52,615 stars) - both run on a Raspberry Pi 5 for basic use. For answers, point the assistant at Ollama (177,902 stars) running a 7-8B model; add a text-to-speech engine (piper or coqui TTS, 45,859 stars) for spoken replies.

Assembly: HAOS on a Pi or mini PC, install Wyoming faster-whisper and piper add-ons, configure the wake word (openWakeWord), then connect the conversation agent to Ollama. Total hardware cost: a Pi 5 plus a microphone array - under 100 dollars, fully owned.

Comparison

ComponentRoleTool
BrainAutomation hubHome Assistant
STTSpeech to textfaster-whisper 24,776
LLMAnswersOllama 177,902
TTSSpoken repliespiper / coqui 45,859

FAQ

Q: Do I need a GPU?
A: No - whisper.cpp and 7-8B models run on CPU, just slower. A Pi 5 handles basic commands; a mini PC with 16GB RAM is snappier.

Q: Can it control smart home devices?
A: Yes - that is Home Assistant main job. Say turn off the lights and the assistant triggers the automation.

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