On-device wake word detection powered by deep learning

A lightweight, simple-to-use, RNN wake word listener

On-device voice assistant platform powered by deep learning

🗣️ A book and repo to get you started programming voice computing applications in Python (10 chapters and 200+ scripts).

Wake word detection modeling toolkit for Firefox Voice, supporting open datasets like Speech Commands and Common Voice.

A library for real-time voice processing in web browsers

Few-shot Keyword Spotting in Any Language and Multilingual Spoken Word Corpus

wake word engine benchmark framework

Jarvis Home Automation

Classify audio with neural nets on embedded systems like the Raspberry Pi

MicroSpeech Wake Word example on the Raspberry Pi Pico. This is a port of the example on the TensorFlow repository.

Experiments to test different speech recognition systems for SEPIA Framework

Raspberry pi based humanoid robot.

Create modular, cross-browser, web audio pipelines to record and process audio in background threads. Comes with modules for VAD, ASR, resampling and much more...

Twitch Streamer GPT is a NodeJS-based Twitch enhancement tool, offering interactive stream experiences with AI-powered automated responses, voice command activations, and advanced modules. It's easy to set up and suited for users of all tech levels.

End-to-End Keyword Spotting (E2E-KWS) using a character level LSTM

GPT powered personal voice assistant, immitates GLaDOS from Portal.

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

Buildings block for voice-enabled applications in the browser

OpenVoiceOS Voice Satellite