[HTML][HTML] Evaluation of speech-based digital biomarkers: review and recommendations

J Robin, JE Harrison, LD Kaufman, F Rudzicz… - Digital …, 2020 - karger.com
Speech represents a promising novel biomarker by providing a window into brain health, as
shown by its disruption in various neurological and psychiatric diseases. As with many novel …

[HTML][HTML] Voice-based conversational agents for the prevention and management of chronic and mental health conditions: systematic literature review

C Bérubé, T Schachner, R Keller, E Fleisch… - Journal of medical …, 2021 - jmir.org
Background Chronic and mental health conditions are increasingly prevalent worldwide. As
devices in our everyday lives offer more and more voice-based self-service, voice-based …

[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 …

Toolkit to Examine Lifelike Language (TELL): An app to capture speech and language markers of neurodegeneration

AM García, F Johann, R Echegoyen… - Behavior research …, 2024 - Springer
Automated speech and language analysis (ASLA) is a promising approach for capturing
early markers of neurodegenerative diseases. However, its potential remains …

Detection of minor and major depression through voice as a biomarker using machine learning

D Shin, WI Cho, CHK Park, SJ Rhee, MJ Kim… - Journal of clinical …, 2021 - mdpi.com
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 …

[HTML][HTML] Digital phenotyping for differential diagnosis of major depressive episode: narrative review

E Ettore, P Müller, J Hinze, M Riemenschneider… - JMIR mental …, 2023 - mental.jmir.org
Background Major depressive episode (MDE) is a common clinical syndrome. It can be
found in different pathologies such as major depressive disorder (MDD), bipolar disorder …

[HTML][HTML] Acoustic analysis and prediction of type 2 diabetes mellitus using smartphone-recorded voice segments

JM Kaufman, A Thommandram, Y Fossat - Mayo Clinic Proceedings: Digital …, 2023 - Elsevier
Objective To investigate the potential of voice analysis as a prescreening or monitoring tool
for type 2 diabetes mellitus (T2DM) by examining the differences in voice recordings …

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 …

Semi-structural interview-based Chinese multimodal depression corpus towards automatic preliminary screening of depressive disorders

B Zou, J Han, Y Wang, R Liu, S Zhao… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Depression is a common psychiatric disorder worldwide. However, in China, a considerable
number of patients with depression are not diagnosed, and most of them are not aware of …

Acoustic and language analysis of speech for suicidal ideation among US veterans

A Belouali, S Gupta, V Sourirajan, J Yu, N Allen… - BioData mining, 2021 - Springer
Background Screening for suicidal ideation in high-risk groups such as US veterans is
crucial for early detection and suicide prevention. Currently, screening is based on clinical …