ESP32S3 Wakeword/Keyword Spotting starter project with ready to go ML model
EfficientWordNet enhances wakeword detection with noise-robust similarity matching. It features an adaptive Gaussian kernel, weighted similarity metrics, and learned decision boundaries, improving accuracy without retraining.
streaming lightweight accurate wakeword detection using pytorch
Production-ready platform for training custom wakeword detection models with GPU acceleration, advanced optimizations, and a modern web interface. Features enterprise-grade Distributed Cascade Architecture for real-time deployment.
Small browser-first wrapper around the OpenWakeWord models using onnxruntime-web. It exposes a WakeWordEngine class you can drop into a React app to listen for wake words like hey_jarvis directly in Chrome, no native layer required.
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