Automated assessment of psychiatric disorders using speech: A systematic review
Objective There are many barriers to accessing mental health assessments including cost
and stigma. Even when individuals receive professional care, assessments are intermittent …
and stigma. Even when individuals receive professional care, assessments are intermittent …
[HTML][HTML] Mental health monitoring with multimodal sensing and machine learning: A survey
Personal and ubiquitous sensing technologies such as smartphones have allowed the
continuous collection of data in an unobtrusive manner. Machine learning methods have …
continuous collection of data in an unobtrusive manner. Machine learning methods have …
Ethics sheet for automatic emotion recognition and sentiment analysis
SM Mohammad - Computational Linguistics, 2022 - direct.mit.edu
The importance and pervasiveness of emotions in our lives makes affective computing a
tremendously important and vibrant line of work. Systems for automatic emotion recognition …
tremendously important and vibrant line of work. Systems for automatic emotion recognition …
AVEC 2018 workshop and challenge: Bipolar disorder and cross-cultural affect recognition
The Audio/Visual Emotion Challenge and Workshop (AVEC 2018)" Bipolar disorder, and
cross-cultural affect recognition''is the eighth competition event aimed at the comparison of …
cross-cultural affect recognition''is the eighth competition event aimed at the comparison of …
[HTML][HTML] Modern views of machine learning for precision psychiatry
In light of the National Institute of Mental Health (NIMH)'s Research Domain Criteria (RDoC),
the advent of functional neuroimaging, novel technologies and methods provide new …
the advent of functional neuroimaging, novel technologies and methods provide new …
A transdiagnostic review of negative symptom phenomenology and etiology
GP Strauss, AS Cohen - Schizophrenia bulletin, 2017 - academic.oup.com
In the DSM5, negative symptoms are 1 of the 5 core dimensions of psychopathology
evaluated for schizophrenia. However, negative symptoms are not pathognomonic—they …
evaluated for schizophrenia. However, negative symptoms are not pathognomonic—they …
Internet-based cognitive-behavioral therapy for depression: current progress and future directions
Abstract The World Health Organization estimates that during a given 12-month period,
approximately 34 million people suffering from major depressive disorder go untreated in …
approximately 34 million people suffering from major depressive disorder go untreated in …
[HTML][HTML] Smartphone-based monitoring of objective and subjective data in affective disorders: where are we and where are we going? Systematic review
Background Electronic mental health interventions for mood disorders have increased
rapidly over the past decade, most recently in the form of various systems and apps that are …
rapidly over the past decade, most recently in the form of various systems and apps that are …
[HTML][HTML] Voice analysis as an objective state marker in bipolar disorder
Abstract Changes in speech have been suggested as sensitive and valid measures of
depression and mania in bipolar disorder. The present study aimed at investigating (1) voice …
depression and mania in bipolar disorder. The present study aimed at investigating (1) voice …
Using regional saliency for speech emotion recognition
Z Aldeneh, EM Provost - 2017 IEEE international conference on …, 2017 - ieeexplore.ieee.org
In this paper, we show that convolutional neural networks can be directly applied to temporal
low-level acoustic features to identify emotionally salient regions without the need for …
low-level acoustic features to identify emotionally salient regions without the need for …