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 …
Deep learning for depression recognition with audiovisual cues: A review
With the acceleration of the pace of work and life, people are facing more and more
pressure, which increases the probability of suffering from depression. However, many …
pressure, which increases the probability of suffering from depression. However, many …
A textual-based featuring approach for depression detection using machine learning classifiers and social media texts
Depression is one of the leading causes of suicide worldwide. However, a large percentage
of cases of depression go undiagnosed and, thus, untreated. Previous studies have found …
of cases of depression go undiagnosed and, thus, untreated. Previous studies have found …
AVEC 2019 workshop and challenge: state-of-mind, detecting depression with AI, and cross-cultural affect recognition
The Audio/Visual Emotion Challenge and Workshop (AVEC 2019)'State-of-Mind, Detecting
Depression with AI, and Cross-cultural Affect Recognition'is the ninth competition event …
Depression with AI, and Cross-cultural Affect Recognition'is the ninth competition event …
Avec 2016: Depression, mood, and emotion recognition workshop and challenge
The Audio/Visual Emotion Challenge and Workshop (AVEC 2016)" Depression, Mood and
Emotion" will be the sixth competition event aimed at comparison of multimedia processing …
Emotion" will be the sixth competition event aimed at comparison of multimedia processing …
A Comprehensive Review of Data‐Driven Co‐Speech Gesture Generation
Gestures that accompany speech are an essential part of natural and efficient embodied
human communication. The automatic generation of such co‐speech gestures is a long …
human communication. The automatic generation of such co‐speech gestures is a long …
[PDF][PDF] Detecting Depression with Audio/Text Sequence Modeling of Interviews.
T Al Hanai, MM Ghassemi, JR Glass - Interspeech, 2018 - isca-archive.org
Medical professionals diagnose depression by interpreting the responses of individuals to a
variety of questions, probing lifestyle changes and ongoing thoughts. Like professionals, an …
variety of questions, probing lifestyle changes and ongoing thoughts. Like professionals, an …
Avec 2017: Real-life depression, and affect recognition workshop and challenge
The Audio/Visual Emotion Challenge and Workshop (AVEC 2017)" Real-life depression,
and affect" will be the seventh competition event aimed at comparison of multimedia …
and affect" will be the seventh competition event aimed at comparison of multimedia …
MFCC-based recurrent neural network for automatic clinical depression recognition and assessment from speech
E Rejaibi, A Komaty, F Meriaudeau, S Agrebi… - … Signal Processing and …, 2022 - Elsevier
Abstract Clinical depression or Major Depressive Disorder (MDD) is a common and serious
medical illness. In this paper, a deep Recurrent Neural Network-based framework is …
medical illness. In this paper, a deep Recurrent Neural Network-based framework is …
[PDF][PDF] SimSensei Kiosk: A virtual human interviewer for healthcare decision support
D DeVault, R Artstein, G Benn, T Dey… - Proceedings of the …, 2014 - kgeorgila.github.io
ABSTRACT We present SimSensei Kiosk, an implemented virtual human interviewer
designed to create an engaging face-to-face interaction where the user feels comfortable …
designed to create an engaging face-to-face interaction where the user feels comfortable …