[HTML][HTML] Deep learning in mental health outcome research: a scoping review

C Su, Z Xu, J Pathak, F Wang - Translational Psychiatry, 2020 - nature.com
Mental illnesses, such as depression, are highly prevalent and have been shown to impact
an individual's physical health. Recently, artificial intelligence (AI) methods have been …

Speech analysis for health: Current state-of-the-art and the increasing impact of deep learning

N Cummins, A Baird, BW Schuller - Methods, 2018 - Elsevier
Due to the complex and intricate nature associated with their production, the acoustic-
prosodic properties of a speech signal are modulated with a range of health related effects …

Video-based depression level analysis by encoding deep spatiotemporal features

M Al Jazaery, G Guo - IEEE Transactions on Affective …, 2018 - ieeexplore.ieee.org
As a serious mood disorder problem, depression causes severe symptoms that affect how
people feel, think, and handle daily activities, such as sleeping, eating, or working. In this …

[HTML][HTML] 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 …

Towards robust deep neural networks for affect and depression recognition from speech

A Othmani, D Kadoch, K Bentounes, E Rejaibi… - … and Challenges: Virtual …, 2021 - Springer
Intelligent monitoring systems and affective computing applications have emerged in recent
years to enhance healthcare. Examples of these applications include assessment of …

Learning voice source related information for depression detection

SP Dubagunta, B Vlasenko… - ICASSP 2019-2019 IEEE …, 2019 - ieeexplore.ieee.org
During depression neurophysiological changes can occur, which may affect laryngeal
control ie behaviour of the vocal folds. Characterising these changes in a precise manner …

[HTML][HTML] Depression-level assessment from multi-lingual conversational speech data using acoustic and text features

C Demiroglu, A Beşirli, Y Ozkanca, S Çelik - EURASIP Journal on Audio …, 2020 - Springer
Depression is a widespread mental health problem around the world with a significant
burden on economies. Its early diagnosis and treatment are critical to reduce the costs and …

Multi-lingual depression-level assessment from conversational speech using acoustic and text features

YS Özkanca, C Demiroğlu… - Proceedings of the …, 2018 - eresearch.ozyegin.edu.tr
Depression is a common mental health problem around the world with a large burden on
economies, well-being, hence productivity, of individuals. Its early diagnosis and treatment …

Towards Building Generalizable Speech Emotion Recognition Models

S Sahu - 2019 - search.proquest.com
Detecting the mental state of a person has implications in psychiatry, medicine, psychology
and human-computer interaction systems among others. It includes (but is not limited to) a …

[PDF][PDF] Machine Learning with Applications

M Muzammel, H Salam, Y Hoffmann, M Chetouani… - researchgate.net
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 …