Econet: estimating everyday conversational network from free-living audio for mental health applications

HIGHLIGHTS

  • who: ECoNet Estimating, Everyday Conversational and Bishal, Lamichhane from the Rice University, Houston, TX, USA have published the paper: ECoNet: Estimating Everyday Conversational Network From Free-Living Audio for Mental Health Applications, in the Journal: (JOURNAL) of 28/06/2022
  • what: To complement the existing self-reportsbased assessment of sociability measures which could be error-prone and burdensome the authors propose to estimate an individual's network from free-living speech recordings obtained with a wearable. The authors extend the viability of speech-based mental health assessment by proposing an automatic behavioral feature extraction (social . . .

     

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