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; …
Automatic depression recognition by intelligent speech signal processing: A systematic survey
Depression has become one of the most common mental illnesses in the world. For better
prediction and diagnosis, methods of automatic depression recognition based on speech …
prediction and diagnosis, methods of automatic depression recognition based on speech …
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 …
AudVowelConsNet: A phoneme-level based deep CNN architecture for clinical depression diagnosis
M Muzammel, H Salam, Y Hoffmann… - Machine Learning with …, 2020 - Elsevier
Depression is a common and serious mood disorder that negatively affects the patient's
capacity of functioning normally in daily tasks. Speech is proven to be a vigorous tool in …
capacity of functioning normally in daily tasks. Speech is proven to be a vigorous tool in …
Multimodal assistive technologies for depression diagnosis and monitoring
Depression is a severe mental health disorder with high societal costs. Current clinical
practice depends almost exclusively on self-report and clinical opinion, risking a range of …
practice depends almost exclusively on self-report and clinical opinion, risking a range of …
Sensing technologies for monitoring serious mental illnesses
S Abdullah, T Choudhury - IEEE MultiMedia, 2018 - ieeexplore.ieee.org
Mental health is an urgent global issue. Around 450 million people suffer from serious
mental illnesses worldwide, which results in devastating personal outcomes and huge …
mental illnesses worldwide, which results in devastating personal outcomes and huge …
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 …
Detecting depression: a comparison between spontaneous and read speech
Major depressive disorders are mental disorders of high prevalence, leading to a high
impact on individuals, their families, society and the economy. In order to assist clinicians to …
impact on individuals, their families, society and the economy. In order to assist clinicians to …
A comparative study of different classifiers for detecting depression from spontaneous speech
Accurate detection of depression from spontaneous speech could lead to an objective
diagnostic aid to assist clinicians to better diagnose depression. Little thought has been …
diagnostic aid to assist clinicians to better diagnose depression. Little thought has been …