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Snoozzzic: Identifying Sleep-Conducive Audio Features in Music Using Spectral Analysis, and Deep Learning with Prescriptive Analysis for Enhanced Sleep Quality Poster

Snoozzzic: Identifying Sleep-Conducive Audio Features in Music Using Spectral Analysis, and Deep Learning with Prescriptive Analysis for Enhanced Sleep Quality

This project, titled "Identifying Sleep-Conducive Audio Features in Music Using Spectral Analysis and Deep Learning for Enhanced Sleep Quality," aims to explore how mainstream music (e.g., popular and trending songs across genres) and ambient sounds (e.g., nature sounds, rain, lo-fi music) can be leveraged to help individuals sleep better. While the project does not seek to solve sleep disorders or medical sleep problems, it focuses on improving sleep quality by identifying audio features that promote relaxation and restfulness.

Group Members

star iconTracy Jon Phope B. Lansangstar iconBjorn Kurt G. Berinstar iconSimoen Jords L. Cadastar iconRoevelle B. Teodocio

Mentor

star iconMs. Marilyn M. Sanchez

Topics

star iconMedicine and Health

AVP

Gallery

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CS Expo 2025