One of the World’s Top Digital Health Companies 2024 as named by Newsweek!

  • One of the World’s Top Digital Health Companies 2024 as named by Newsweek!

  • One of the World’s Top Digital Health Companies 2024 as named by Newsweek!

Publications

With over 200 publications between the team, thymia has proven scientific excellence.

200

publications

200

publications

Paper

17 June 2024

Predicting different dimensions of fatigue from speech data: a longitudinal study in shift workers

This research study examines how speech data can be used to predict fatigue levels in shift workers. Over two weeks, 1,197 participants from six countries across various shift work patterns and industries provided speech samples twice daily, making this one of the most comprehensive investigations of its kind.

The research found that speech characteristics could reliably indicate sleep deprivation and feelings of sleepiness from a single speech activity, in models which properly accounted for individual differences in age, sex, and language/accent. Notably, the ability to predict physical and mental exhaustion improved when analysing data from the same individuals over time.

Sponsored by Innovate UK, this study highlights the potential of speech analysis as a simple and effective tool for real-time sleepiness and fatigue monitoring, paving the way for early intervention strategies in populations at risk.

Paper

17 June 2024

Predicting different dimensions of fatigue from speech data: a longitudinal study in shift workers

This research study examines how speech data can be used to predict fatigue levels in shift workers. Over two weeks, 1,197 participants from six countries across various shift work patterns and industries provided speech samples twice daily, making this one of the most comprehensive investigations of its kind.

The research found that speech characteristics could reliably indicate sleep deprivation and feelings of sleepiness from a single speech activity, in models which properly accounted for individual differences in age, sex, and language/accent. Notably, the ability to predict physical and mental exhaustion improved when analysing data from the same individuals over time.

Sponsored by Innovate UK, this study highlights the potential of speech analysis as a simple and effective tool for real-time sleepiness and fatigue monitoring, paving the way for early intervention strategies in populations at risk.