Automated assessment of psychiatric disorders using speech: A systematic review
Objective There are many barriers to accessing mental health assessments including cost
and stigma. Even when individuals receive professional care, assessments are intermittent …
and stigma. Even when individuals receive professional care, assessments are intermittent …
A review of depression and suicide risk assessment using speech analysis
This paper is the first review into the automatic analysis of speech for use as an objective
predictor of depression and suicidality. Both conditions are major public health concerns; …
predictor of depression and suicidality. Both conditions are major public health concerns; …
Depression detection from social networks data based on machine learning and deep learning techniques: An interrogative survey
KM Hasib, MR Islam, S Sakib, MA Akbar… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Users can interact with one another through social networks (SNs) by exchanging
information, delivering comments, finding new information, and engaging in discussions that …
information, delivering comments, finding new information, and engaging in discussions that …
[KNIHA][B] Real-time speech and music classification by large audio feature space extraction
F Eyben - 2015 - books.google.com
This book reports on an outstanding thesis that has significantly advanced the state-of-the-
art in the automated analysis and classification of speech and music. It defines several …
art in the automated analysis and classification of speech and music. It defines several …
Multimodal depression detection: fusion analysis of paralinguistic, head pose and eye gaze behaviors
An estimated 350 million people worldwide are affected by depression. Using affective
sensing technology, our long-term goal is to develop an objective multimodal system that …
sensing technology, our long-term goal is to develop an objective multimodal system that …
A depression recognition method for college students using deep integrated support vector algorithm
Y Ding, X Chen, Q Fu, S Zhong - IEEE access, 2020 - ieeexplore.ieee.org
The infinite increase in population, the pressure of survival, and the pressure of learning
make the competition between people more and more fierce. Some college students have …
make the competition between people more and more fierce. Some college students have …
[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 …
Multimodal and multiresolution depression detection from speech and facial landmark features
Automatic classification of depression using audiovisual cues can help towards its objective
diagnosis. In this paper, we present a multimodal depression classification system as a part …
diagnosis. In this paper, we present a multimodal depression classification system as a part …
Deep learning-based classification of posttraumatic stress disorder and depression following trauma utilizing visual and auditory markers of arousal and mood
BackgroundVisual and auditory signs of patient functioning have long been used for clinical
diagnosis, treatment selection, and prognosis. Direct measurement and quantification of …
diagnosis, treatment selection, and prognosis. Direct measurement and quantification of …
Detecting depression using an ensemble logistic regression model based on multiple speech features
Early intervention for depression is very important to ease the disease burden, but current
diagnostic methods are still limited. This study investigated automatic depressed speech …
diagnostic methods are still limited. This study investigated automatic depressed speech …