Ant-Brain/EfficientWord-Net
OneShot Learning-based hotword detection.
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.
Stars
301
Forks
51
Language
Jupyter Notebook
License
Apache-2.0
Category
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.
Related frameworks
ARM-software/ML-KWS-for-MCU
Keyword spotting on Arm Cortex-M Microcontrollers
Tony607/Keras-Trigger-Word
How to do Real Time Trigger Word Detection with Keras | DLology
roman-vygon/triplet_loss_kws
Learning Efficient Representations for Keyword Spotting with Triplet Loss
ardamavi/Vocalization-Sign-Language-iOS
Vocalization sign language iOS App with deep learning using CoreML.
Adamiito0909/mlx-swift-audio
🎤 Enhance your apps with MLX Swift Audio, offering robust text-to-speech and speech-to-text...