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
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.
GPT powered personal voice assistant, immitates GLaDOS from Portal.
Wake word detection with custom phrases without model training
Use Porcupine wake word to trigger a voice assistant pipeline in Home-Assistant
OpenVoiceOS Voice Satellite
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.
Key word/wake word detection with espressif esp32s3
Voice interface for OpenClaw with speaker recognition, voice-gated security, real-time barge-in, and multi-provider streaming TTS
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.
AI voice-activated girlfriend assistant with wake word detection, speech recognition, and animated GIF overlay. Powered by Liebea Model, Whisper.cpp, and Edge-TTS.
ai assistant termux use voice
Hands-free voice activation for VS Code, Cursor, and compatible editors. Route voice commands to any AI assistant or editor feature.
CrafyWakeWord it's a library focused on AI-based wake word recognition
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