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 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; …
Detecting depression severity from vocal prosody
To investigate the relation between vocal prosody and change in depression severity over
time, 57 participants from a clinical trial for treatment of depression were evaluated at seven …
time, 57 participants from a clinical trial for treatment of depression were evaluated at seven …
Vocal and facial biomarkers of depression based on motor incoordination and timing
In individuals with major depressive disorder, neurophysiological changes often alter motor
control and thus affect the mechanisms controlling speech production and facial expression …
control and thus affect the mechanisms controlling speech production and facial expression …
Vocal biomarkers of depression based on motor incoordination
In Major Depressive Disorder (MDD), neurophysiologic changes can alter motor control [1,
2] and therefore alter speech production by influencing the characteristics of the vocal …
2] and therefore alter speech production by influencing the characteristics of the vocal …
Critical analysis of the impact of glottal features in the classification of clinical depression in speech
E Moore II, MA Clements, JW Peifer… - IEEE transactions on …, 2007 - ieeexplore.ieee.org
The motivation for this work is in an attempt to rectify the current lack of objective tools for
clinical analysis of emotional disorders. This study involves the examination of a large …
clinical analysis of emotional disorders. This study involves the examination of a large …
Multimodal fusion with deep neural networks for audio-video emotion recognition
JDS Ortega, M Senoussaoui, E Granger… - arXiv preprint arXiv …, 2019 - arxiv.org
This paper presents a novel deep neural network (DNN) for multimodal fusion of audio,
video and text modalities for emotion recognition. The proposed DNN architecture has …
video and text modalities for emotion recognition. The proposed DNN architecture has …
[PDF][PDF] Vocal-source biomarkers for depression: A link to psychomotor activity.
TF Quatieri, N Malyska - Interspeech, 2012 - isca-archive.org
Abstract 1 A hypothesis in characterizing human depression is that change in the brain s
basal ganglia results in a decline of motor coordination [6][8][14]. Such a neuro …
basal ganglia results in a decline of motor coordination [6][8][14]. Such a neuro …
Classification of bipolar disorder episodes based on analysis of voice and motor activity of patients
There is growing amount of scientific evidence that motor activity is the most consistent
indicator of bipolar disorder. Motor activity includes several areas such as body movement …
indicator of bipolar disorder. Motor activity includes several areas such as body movement …
[HTML][HTML] The effect of sleep deprivation on vocal expression of emotion in adolescents and adults
Study Objective: Investigate the impact of sleep deprivation on vocal expression of emotion.
Design: Within-group repeated measures analysis involving sleep deprivation and rested …
Design: Within-group repeated measures analysis involving sleep deprivation and rested …