A systematic review on affective computing: Emotion models, databases, and recent advances
Affective computing conjoins the research topics of emotion recognition and sentiment
analysis, and can be realized with unimodal or multimodal data, consisting primarily of …
analysis, and can be realized with unimodal or multimodal data, consisting primarily of …
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 …
Dawn of the transformer era in speech emotion recognition: closing the valence gap
J Wagner, A Triantafyllopoulos… - … on Pattern Analysis …, 2023 - ieeexplore.ieee.org
Recent advances in transformer-based architectures have shown promise in several
machine learning tasks. In the audio domain, such architectures have been successfully …
machine learning tasks. In the audio domain, such architectures have been successfully …
AVEC 2019 workshop and challenge: state-of-mind, detecting depression with AI, and cross-cultural affect recognition
The Audio/Visual Emotion Challenge and Workshop (AVEC 2019)'State-of-Mind, Detecting
Depression with AI, and Cross-cultural Affect Recognition'is the ninth competition event …
Depression with AI, and Cross-cultural Affect Recognition'is the ninth competition event …
Estimation of continuous valence and arousal levels from faces in naturalistic conditions
Facial affect analysis aims to create new types of human–computer interactions by enabling
computers to better understand a person's emotional state in order to provide ad hoc help …
computers to better understand a person's emotional state in order to provide ad hoc help …
[HTML][HTML] Lipopolysaccharide-induced model of neuroinflammation: mechanisms of action, research application and future directions for its use
A Skrzypczak-Wiercioch, K Sałat - Molecules, 2022 - mdpi.com
Despite advances in antimicrobial and anti-inflammatory therapies, inflammation and its
consequences still remain a significant problem in medicine. Acute inflammatory responses …
consequences still remain a significant problem in medicine. Acute inflammatory responses …
MFCC-based recurrent neural network for automatic clinical depression recognition and assessment from speech
E Rejaibi, A Komaty, F Meriaudeau, S Agrebi… - … Signal Processing and …, 2022 - Elsevier
Abstract Clinical depression or Major Depressive Disorder (MDD) is a common and serious
medical illness. In this paper, a deep Recurrent Neural Network-based framework is …
medical illness. In this paper, a deep Recurrent Neural Network-based framework is …
[HTML][HTML] A review of machine learning and deep learning approaches on mental health diagnosis
Combating mental illnesses such as depression and anxiety has become a global concern.
As a result of the necessity for finding effective ways to battle these problems, machine …
As a result of the necessity for finding effective ways to battle these problems, machine …
Mer 2023: Multi-label learning, modality robustness, and semi-supervised learning
The first Multimodal Emotion Recognition Challenge (MER 2023) 1 was successfully held at
ACM Multimedia. The challenge focuses on system robustness and consists of three distinct …
ACM Multimedia. The challenge focuses on system robustness and consists of three distinct …
Audio based depression detection using Convolutional Autoencoder
Depression is a serious and common psychological disorder that requires early diagnosis
and treatment. In severe episodes the condition may result in suicidal thoughts. Recently …
and treatment. In severe episodes the condition may result in suicidal thoughts. Recently …