Sleep deprivation detected by voice analysis.

Sleep deprivation has an ever-increasing impact on individuals and societies. Yet, to date, there is no quick and objective test for sleep deprivation. Here, we used automated acoustic analyses of the voice to detect sleep deprivation. Building on current machine-learning approaches, we focused on i...

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Bibliographic Details
Main Authors: Etienne Thoret, Thomas Andrillon, Caroline Gauriau, Damien Léger, Daniel Pressnitzer
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2024-02-01
Series:PLoS Computational Biology
Online Access:https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1011849&type=printable