Talk
Few-Shot Learning for Health: How Sleep Cycle Separates Multiple People’s Snoring
Wednesday 5 April 2023, 11:00–11:30
Main track
Watch the recordingAbstract
How do you distinguish snoring sounds from two or more people sharing a bedroom? And why is it important? With several million users choosing to share their data with Sleep Cycle, we are in a unique and privileged position to deepen our understanding of the impact snoring can have on our sleep quality and, by extension, our well-being. Our vast dataset has allowed us to train a snore embedding network that can differentiate between different people's snoring, regardless of how many people or pets(!) are sharing a bedroom.
Snoring, often dismissed as a nuisance only to the person sharing the room, can be a sign of obstructive sleep apnea and is linked to a wide range of other negative health-related issues. Providing the user with a comprehensive sleep analysis and letting them know where the snoring is coming from is the first step for them to implement the proper measures for their sleep health and overall well-being.
Speaker
Maria LarssonMachine Learning Engineer, Sleep Cycle