An open-source audio wake word (or phrase) detection framework with a focus on performance and simplicity.

Wyoming protocol server for openWakeWord wake word detection system

C++ version of openWakeWord

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openWakeWord for Rhasspy

Home Assistant Integration to install openWakeWord´s from fwartner/home-assistant-wakewords-collection

Wakeword Spotting System for Android

Kotlin library that brings openWakeWord to Android. Detect multiple custom wake‑words locally with ONNX Runtime, with a tiny lows of codes. Apache‑2.0. (Respected https://github.com/hasanatlodhi/OpenwakewordforAndroid )

A simple, hands-free Python voice assistant that runs 100% locally. This script uses openwakeword for wakeword detection, webrtcvad for silence detection, OpenAI's Whisper for transcription, and Ollama for generative AI responses.

A voice assistant with local LLM as a backend

Alternative Python library for openWakeWord

Lightweight OpenWakeWord Implementation written in C++.

Basic satellite for Home Assistant running openWakeWord locally

Customized "wake word" training for David Scripka's "OpenWakeWord"

A Home Assistant custom card that turns your browser into a fully-featured voice satellite using **openWakeWord** running locally in the browser (via ONNX Runtime Web/WASM). It integrates directly with Home Assistant's Assist Pipeline for local wake word detection and maximum privacy.

Train custom wake word models with openWakeWord. A granular 13-step pipeline with compatibility patches for torchaudio 2.10+, Piper TTS, and speechbrain. Generates tiny ONNX models (~200 KB) for real-time keyword detection — like building your own "Hey Siri" trigger. WSL2/Linux + CUDA required.

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Trigger-Talk is an offline-capable hotword detection framework that passively listens for custom wake phrases to trigger speech recognition or automation workflows.

Atlas Voice is a speech to text transcriber for Linux that uses a the Faster Whisper model and a custom "wake word" built on the OpenWakeWord project

Zed is your fully local AI voice assistant for Windows 11 — no cloud, no subscriptions, everything runs on your machine. Stack: faster-whisper for speech-to-text OpenWakeWord for always-on wake word detection Ollama for local LLM inference Edge-TTS for text-to-speech Custom RAG system using Obsidian markdown files

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Small browser-first wrapper around the OpenWakeWord models using onnxruntime-web. It exposes a WakeWordEngine class you can drop into a React app to listen for wake words like hey_jarvis directly in Chrome, no native layer required.

A word trainer for ONNX using openWakeWord

This repository will contain openWakeWord models for the name "GLaDOS" from the Portal 2 franchise

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Godot plugin for openWakeWord.

Minimal C# openWakeWord port

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simplified version of openwakeword with only 1 python file and 3 onnyyx neuralk nets