Few-Shot Learning for Health: How Sleep Cycle Separates Multiple People's Snoring

Explore the innovative application of few-shot learning in health technology through a 26-minute conference talk by Maria Larsson at the 2023 GAIA Conference. Discover how Sleep Cycle, a leading sleep tracking solution, utilizes machine learning to differentiate snoring sounds from multiple individuals in a shared bedroom. Learn about the importance of snoring analysis in detecting potential health issues like obstructive sleep apnea and its impact on overall well-being. Gain insights into Sleep Cycle's vast dataset of millions of users and how it enables the training of a snore embedding network. Understand the significance of providing users with comprehensive sleep analysis, including the source of snoring, to promote better sleep health. Get to know Maria Larsson, a prominent machine learning engineer at Sleep Cycle, recognized by Apple for her contributions to the iOS app economy.

Few-Shot Learning for Health: How Sleep Cycle Separate Multiple People’s Snoring by Maria Larsson