Reliable voice
6h
Extremely stable activation performance.
90%
Higher recognition reliability.
95%
Optimized for real-time offline.
Our Impact
Wake word systems often struggle with false triggers, missed activations, and noisy acoustic environments. These limitations reduce trust and responsiveness in voice-enabled products.
This custom-trained model delivered improved detection accuracy, fewer unintended activations, and stronger real-world robustness — all while running efficiently on-device without cloud dependency.
Reduced False Activations
Minimized accidental wake events.
Fewer Missed Triggers
Improved recognition under varied speech patterns.
Noise-Robust Performance
Stable detection in real-world acoustic conditions.
Optimized Edge Deployment
Low-latency inference without cloud reliance.
The Challenge
Most off-the-shelf wake word engines struggle to balance detection sensitivity with false activation control.
Real-world environments introduce background noise, accent variation, and unpredictable speech patterns — making reliable offline detection difficult.
Our Approach
Solutions
— Asneha Shadman