Automated voice biomarkers for depression symptoms using an online cross‐sectional data collection initiative
L Zhang, R Duvvuri, KKL Chandra… - Depression and …, 2020 - Wiley Online Library
Importance Depression is an illness affecting a large percentage of the world's population
throughout the lifetime. To date, there is no available biomarker for depression detection and …
throughout the lifetime. To date, there is no available biomarker for depression detection and …
[HTML][HTML] Fast and accurate assessment of depression based on voice acoustic features: a cross-sectional and longitudinal study
Y Wang, L Liang, Z Zhang, X Xu, R Liu, H Fang… - Frontiers in …, 2023 - frontiersin.org
Background Depression is a widespread mental disorder that affects a significant portion of
the population. However, the assessment of depression is often subjective, relying on …
the population. However, the assessment of depression is often subjective, relying on …
Evaluation of voice acoustics as predictors of clinical depression scores
Objective The aim of the present study was to determine if acoustic measures of voice,
characterizing specific spectral and timing properties, predict clinical ratings of depression …
characterizing specific spectral and timing properties, predict clinical ratings of depression …
[HTML][HTML] Re-examining the robustness of voice features in predicting depression: Compared with baseline of confounders
A large proportion of Depression Disorder patients do not receive an effective diagnosis,
which makes it necessary to find a more objective assessment to facilitate a more rapid and …
which makes it necessary to find a more objective assessment to facilitate a more rapid and …
[HTML][HTML] Detection of minor and major depression through voice as a biomarker using machine learning
Both minor and major depression have high prevalence and are important causes of social
burden worldwide; however, there is still no objective indicator to detect minor depression …
burden worldwide; however, there is still no objective indicator to detect minor depression …
Effectiveness of voice quality features in detecting depression
Automatic assessment of depression from speech signals is affected by variabilities in
acoustic content and speakers. In this study, we focused on addressing these variabilities …
acoustic content and speakers. In this study, we focused on addressing these variabilities …
[HTML][HTML] Detecting subtle signs of depression with automated speech analysis in a non-clinical sample
Background Automated speech analysis has gained increasing attention to help diagnosing
depression. Most previous studies, however, focused on comparing speech in patients with …
depression. Most previous studies, however, focused on comparing speech in patients with …
[HTML][HTML] Depression screening from voice samples of patients affected by parkinson's disease
Y Ozkanca, M Göksu Öztürk, MN Ekmekci… - Digital …, 2019 - karger.com
Depression is a common mental health problem leading to significant disability worldwide. It
is not only common but also commonly co-occurs with other mental and neurological …
is not only common but also commonly co-occurs with other mental and neurological …
Voice acoustic measures of depression severity and treatment response collected via interactive voice response (IVR) technology
Efforts to develop more effective depression treatments are limited by assessment methods
that rely on patient-reported or clinician judgments of symptom severity. Depression also …
that rely on patient-reported or clinician judgments of symptom severity. Depression also …
[HTML][HTML] Bio-acoustic features of depression: A review
SA Almaghrabi, SR Clark, M Baumert - Biomedical Signal Processing and …, 2023 - Elsevier
Speech carries essential information about the speaker's physiology and possible
pathophysiological conditions. Bio-acoustic voice qualities show promising value for …
pathophysiological conditions. Bio-acoustic voice qualities show promising value for …