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wake-word-detection
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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).
A library for real-time voice processing in web browsers
Wake word detection modeling toolkit for Firefox Voice, supporting open datasets like Speech Commands and Common Voice.
Few-shot Keyword Spotting in Any Language and Multilingual Spoken Word Corpus
wake word engine benchmark framework
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
Create any wake word, deploy on any device and operating system.
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...
Raspberry pi based humanoid robot.
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.
GPT powered personal voice assistant, immitates GLaDOS from Portal.
End-to-End Keyword Spotting (E2E-KWS) using a character level LSTM
Buildings block for voice-enabled applications in the browser
OpenVoiceOS Voice Satellite