wake-word

On-device wake word detection powered by deep learning

This is a list of interesting papers and projects about TinyML.

OpenClaw voice assistant app for Android - Wake word activation & system assistant integration

wake word engine benchmark framework

Turn an Echo Dot (2nd gen) into a fully local Home Assistant voice satellite, multi-room media player, lux sensor, Bluetooth proxy, and more. No Amazon, no cloud.

A lightweight, wake word detection engine. Train custom, high-accuracy models with minimal effort.

Create any wake word, deploy on any device and operating system.

Wake word detection with custom phrases without model training

Offline keyword spotting & wake word engine. ONNX format, model <130KB, inference <10ms. Runs on Android, ESP32, Linux, Web. No cloud, no data usage.

GPT powered personal voice assistant, immitates GLaDOS from Portal.

Use Porcupine wake word to trigger a voice assistant pipeline in Home-Assistant

Speech2Speech-AIAssistant; A lightweight, offline-capable voice assistant that listens for a wake phrase, converts speech to text, runs local or API-based intent handling, and replies with natural-sounding TTS. Built for quick local deployment, it supports configurable wake words, microphone I/O, and easy integration with custom actions or LLMs.

OVOS voice satellite for HiveMind — full on-device voice stack (microphone, VAD, wake word, STT, TTS)

Local-first voice assistant with dual-brain architecture: fast conversational LLM + tool-calling agent. Wake-word triggered, half-duplex, all models run on your own GPU.

Self-hosted voice assistant. Speak to your computer: it answers aloud, types your dictation, and operates your apps.

Local-first personal wake-word training with ONNX export.

Cross-platform desktop AI companion — Live2D character, always-on wake word, continuous voice chat, dreaming long-term memory, autonomous behavior, and built-in tools (web search / weather / reminders). Electron + React + TypeScript.

🦞 Headless real-time Python voice assistant powered by ElevenLabs, Gemini, Mem0, MCP tools, and local wake-word detection.

Everyone deserves a chief of staff - your personal jarvis | not a chatbot. not another ai agent. | beta

On-device wake-phrase detection for Linux aarch64 — one glibc-2.17 .so behind Python (PyPI wheel), Node.js (npm), Go (go get), C/C++ (tarball + CMake), Rust. RTF 0.053 on Raspberry Pi Zero 2 W. Same runtime as voxrt-wake-word-{android,ios}.