Sensemood: depression detection on social media

C Lin, P Hu, H Su, S Li, J Mei, J Zhou… - Proceedings of the 2020 …, 2020 - dl.acm.org
More than 300 million people have been affected by depression all over the world. Due to
the medical equipment and knowledge limitations, most of them are not diagnosed at the …

Estimating autism severity in young children from speech signals using a deep neural network

M Eni, I Dinstein, M Ilan, I Menashe, G Meiri… - IEEE Access, 2020 - ieeexplore.ieee.org
Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder that involves difficulties
in social communication. Previous research has demonstrated that these difficulties are …

A weakly supervised learning framework for detecting social anxiety and depression

A Salekin, JW Eberle, JJ Glenn, BA Teachman… - Proceedings of the …, 2018 - dl.acm.org
Although social anxiety and depression are common, they are often underdiagnosed and
undertreated, in part due to difficulties identifying and accessing individuals in need of …

Ambulatory vocal acoustics, temporal dynamics, and serious mental illness.

AS Cohen, TL Fedechko, EK Schwartz… - Journal of abnormal …, 2019 - psycnet.apa.org
Acoustic analysis of vocal expression offers a potentially inexpensive, unobtrusive, and
highly sensitive biobehavioral measure of serious mental illness (SMI)-related issues …

[PDF][PDF] Cross-Database Models for the Classification of Dysarthria Presence.

S Gillespie, YY Logan, E Moore, J Laures-Gore… - Interspeech, 2017 - researchgate.net
Dysarthria is a motor speech disorder that impacts verbal articulation and co-ordination,
resulting in slow, slurred and imprecise speech. Automated classification of dysarthria …

[HTML][HTML] Measuring stress in health professionals over the phone using automatic speech analysis during the COVID-19 pandemic: observational pilot study

A König, K Riviere, N Linz, H Lindsay, J Elbaum… - Journal of medical …, 2021 - jmir.org
Background During the COVID-19 pandemic, health professionals have been directly
confronted with the suffering of patients and their families. By making them main actors in the …

[PDF][PDF] Bluememo: depression analysis through twitter posts

P Hu, C Lin, H Su, S Li, X Han, Y Zhang… - Proceedings of the Twenty …, 2021 - ijcai.org
The use of social media runs through our lives, and users' emotions are also affected by it.
Previous studies have reported social organizations and psychologists using social media to …

Unraveling depression using machine intelligence

A Arora, A Joshi, K Jain, S Dokania… - 2018 3rd International …, 2018 - ieeexplore.ieee.org
Artificial intelligence is a field at the intersection of computer science, mathematics,
philosophy and neuroscience. Its core competency lies in shedding light on data intensive …

Audio signal based stress recognition system using AI and machine learning

M Gupta, S Vaikole - Journal of Algebraic Statistics, 2022 - publishoa.com
The detection of stress from speech signals has recently received a lot of interest. Individual
speech is a verbal means for people to communicate with one another. The human speech …

[PDF][PDF] An epitomization of stress recognition from speech signal

V Narayanan, S Lalitha, D Gupta - International Journal of …, 2018 - academia.edu
The Detection of stress from speech signal is gaining large attention recently. The
emergence of new methods and techniques for feature extraction and classification paved …