Speech as a biomarker for depression
S Koops, SG Brederoo, JN de Boer… - CNS & Neurological …, 2023 - ingentaconnect.com
Background: Depression is a debilitating disorder that at present lacks a reliable biomarker
to aid in diagnosis and early detection. Recent advances in computational analytic …
to aid in diagnosis and early detection. Recent advances in computational analytic …
[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 …
Depac: a corpus for depression and anxiety detection from speech
Mental distress like depression and anxiety contribute to the largest proportion of the global
burden of diseases. Automated diagnosis systems of such disorders, empowered by recent …
burden of diseases. Automated diagnosis systems of such disorders, empowered by recent …
The applicability of the Beck Depression Inventory and Hamilton Depression Scale in the automatic recognition of depression based on speech signal processing
Depression is a growing problem worldwide, impacting on an increasing number of patients,
and also affecting health systems and the global economy. The most common diagnostical …
and also affecting health systems and the global economy. The most common diagnostical …
Estimating severity of depression from acoustic features and embeddings of natural speech
SH Dumpala, S Rempel, K Dikaios… - ICASSP 2021-2021 …, 2021 - ieeexplore.ieee.org
Major depressive disorder, referred to as depression, is a leading cause of disability,
absence from work, and premature death. Automatic assessment of depression from speech …
absence from work, and premature death. Automatic assessment of depression from speech …
[PDF][PDF] Glottal Source Features for Automatic Speech-Based Depression Assessment.
Depression is one of the most prominent mental disorders, with an increasing rate that
makes it the fourth cause of disability worldwide. The field of automated depression …
makes it the fourth cause of disability worldwide. The field of automated depression …
Classifying depression symptom severity: Assessment of speech representations in personalized and generalized machine learning models
There is an urgent need for new methods that improve the management and treatment of
Major Depressive Disorder (MDD). Speech has long been regarded as a promising digital …
Major Depressive Disorder (MDD). Speech has long been regarded as a promising digital …
Automated verbal and non-verbal speech analysis of interviews of individuals with schizophrenia and depression
S Xu, Z Yang, D Chakraborty, YHV Chua… - 2019 41st Annual …, 2019 - ieeexplore.ieee.org
Schizophrenia and depression are the two most common mental disorders associated with
negative symptoms that contribute to poor functioning and quality of life for millions of …
negative symptoms that contribute to poor functioning and quality of life for millions of …
[PDF][PDF] Hybrid network feature extraction for depression assessment from speech
A fast-growing area of mental health research is the search for speech-based objective
markers for conditions such as depression. One vital challenge in the development of …
markers for conditions such as depression. One vital challenge in the development of …
Investigation of different speech types and emotions for detecting depression using different classifiers
Depression is one of the most common mental disorders. Early intervention is very important
for reducing the burden of the disease, but current methods of diagnosis remain limited …
for reducing the burden of the disease, but current methods of diagnosis remain limited …