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Smartphone-Detected Ambient Speech and Self-Reported Measures of Anxiety and Depression: Exploratory Observational Study.

Daniel Di MatteoWendy WangKathryn FotinosSachinthya LokugeJulia YuTia SternatMartin A KatzmanJonathan Rose
Published in: JMIR formative research (2021)
In this study, words automatically recognized from environmental audio were shown to contain a number of potential associations with severity of depression and anxiety. This work suggests that sparsely sampled audio could provide relevant insight into individuals' mental health.
Keyphrases
  • mental health
  • air pollution
  • human health
  • particulate matter
  • risk assessment
  • climate change