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
Create any wake word, deploy on any device and operating system.
A lightweight, wake word detection engine. Train custom, high-accuracy models with minimal effort.
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
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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