Automated assessment of psychiatric disorders using speech: A systematic review

DM Low, KH Bentley, SS Ghosh - Laryngoscope investigative …, 2020 - Wiley Online Library
Objective There are many barriers to accessing mental health assessments including cost
and stigma. Even when individuals receive professional care, assessments are intermittent …

Deep learning for depression recognition with audiovisual cues: A review

L He, M Niu, P Tiwari, P Marttinen, R Su, J Jiang… - Information …, 2022 - Elsevier
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 …

[PDF][PDF] Automated Screening for Alzheimer's Dementia Through Spontaneous Speech.

MSS Syed, ZS Syed, M Lech, E Pirogova - Interspeech, 2020 - researchgate.net
Dementia is a neurodegenerative disease that leads to cognitive and (eventually) physical
impairments. Individuals who are affected by dementia experience deterioration in their …

[HTML][HTML] Automatic detection of alzheimer's disease using spontaneous speech only

J Chen, J Ye, F Tang, J Zhou - Interspeech, 2021 - ncbi.nlm.nih.gov
Alzheimer's disease (AD) is a neurodegenerative syndrome which affects tens of millions of
elders worldwide. Although there is no treatment currently available, early recognition can …

Multimodal temporal machine learning for Bipolar Disorder and Depression Recognition

F Ceccarelli, M Mahmoud - Pattern Analysis and Applications, 2022 - Springer
Mental disorder is a serious public health concern that affects the life of millions of people
throughout the world. Early diagnosis is essential to ensure timely treatment and to improve …

Multimodal deep learning framework for mental disorder recognition

Z Zhang, W Lin, M Liu… - 2020 15th IEEE …, 2020 - ieeexplore.ieee.org
Current methods for mental disorder recognition mostly depend on clinical interviews and
self-reported scores that can be highly subjective. Building an automatic recognition system …

Multimodal fusion for alzheimer's disease recognition

Y Ying, T Yang, H Zhou - Applied Intelligence, 2023 - Springer
Alzheimer's disease (AD) is the most prevalent form of progressive degenerative dementia,
which has a great impact on social economics throughout the world. In the vast majority of …

Automated recognition of alzheimer's dementia using bag-of-deep-features and model ensembling

ZS Syed, MSS Syed, M Lech, E Pirogova - IEEE Access, 2021 - ieeexplore.ieee.org
Alzheimer's dementia is a progressive neurodegenerative disease that causes cognitive and
physical impairment. It severely deteriorates the quality of life in affected individuals. An …

A multimodal approach for mania level prediction in bipolar disorder

P Baki, H Kaya, E Çiftçi, H Güleç… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Bipolar disorder is a mental health disorder that causes mood swings that range from
depression to mania. Clinical diagnosis of bipolar disorder is based on patient interviews …

[PDF][PDF] Tackling the ADReSS Challenge: A Multimodal Approach to the Automated Recognition of Alzheimer's Dementia.

M Martinc, S Pollak - Interspeech, 2020 - dementia.talkbank.org
The paper describes a multimodal approach to the automated recognition of Alzheimer's
dementia in order to solve the ADReSS (Alzheimer's Dementia Recognition through …