Ant-Brain/EfficientWord-Net

OneShot Learning-based hotword detection.

56
/ 100
Established

Implements Siamese Network architecture (inspired by FaceNet) with TensorFlow Lite for efficient real-time inference, requiring only 3-4 user-recorded samples to generate custom hotword embeddings. Supports both single and multiple concurrent hotword detection via sliding-window audio processing with configurable confidence thresholds and relaxation timing to minimize false positives. Includes pre-trained models (Resnet_50_Arc_loss, First_Iteration_Siamese) and out-of-the-box reference files for common wakewords (Mycroft, Google, Alexa, etc.), with optional C++ inference support.

301 stars.

No Package No Dependents
Maintenance 10 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 20 / 25

How are scores calculated?

Stars

301

Forks

51

Language

Jupyter Notebook

License

Apache-2.0

Last pushed

Feb 11, 2026

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/Ant-Brain/EfficientWord-Net"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.