Speech Features as Predictors of Momentary Depression Severity in Patients With Depressive Disorder Undergoing Sleep Deprivation Therapy: Ambulatory Assessment Pilot Study.
Lisa-Marie HartnagelUlrich W Ebner-PriemerJerome Clifford FooYoshiharu YamamotoFabian StreitStephanie-H WittJoseph FrankLea ZillichMatthias F LimbergerAyimnisagul AblimitTanja SchultzMaria GillesMarcella D C RietschelLea SirignanoPublished in: JMIR mental health (2024)
Pitch variability, speech pauses, and speech rate are promising features for the development of clinical prediction technologies to improve patient care as well as timely diagnosis and monitoring of treatment response. Our research is a step forward on the path to developing an automated depression monitoring system, facilitating individually tailored treatments and increased patient empowerment.