Robust Wake-Up Word Detection by Two-stage Multi-resolution Ensembles
The scheme uses a two-stage detection process: a lightweight model runs on-device for fast initial detection, followed by a server-side ensemble of diverse neural networks for robust verification. By using temporal multi-resolution features and transmitting extracted features instead of raw audio, the system achieves high accuracy and efficiency while ensuring user privacy.