Snoring Duration Prediction

Overview

This project introduces a lightweight 1-D CNN that predicts snoring duration directly from audio signals — a compact model suited to on-device, low-power health monitoring.

Highlights

• 1-D convolutional architecture operating directly on the audio waveform.
• Lightweight design prioritising low computational cost for embedded use.
• Applied to sleep-health signal analysis.

Gallery

Presentation & videos