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 …
Deep learning for depression recognition with audiovisual cues: A review
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 …
pressure, which increases the probability of suffering from depression. However, many …
Avec 2016: Depression, mood, and emotion recognition workshop and challenge
The Audio/Visual Emotion Challenge and Workshop (AVEC 2016)" Depression, Mood and
Emotion" will be the sixth competition event aimed at comparison of multimedia processing …
Emotion" will be the sixth competition event aimed at comparison of multimedia processing …
Multimodal sentiment analysis with word-level fusion and reinforcement learning
With the increasing popularity of video sharing websites such as YouTube and Facebook,
multimodal sentiment analysis has received increasing attention from the scientific …
multimodal sentiment analysis has received increasing attention from the scientific …
Avec 2017: Real-life depression, and affect recognition workshop and challenge
The Audio/Visual Emotion Challenge and Workshop (AVEC 2017)" Real-life depression,
and affect" will be the seventh competition event aimed at comparison of multimedia …
and affect" will be the seventh competition event aimed at comparison of multimedia …
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 …
Unlocking the emotional world of visual media: An overview of the science, research, and impact of understanding emotion
The emergence of artificial emotional intelligence technology is revolutionizing the fields of
computers and robotics, allowing for a new level of communication and understanding of …
computers and robotics, allowing for a new level of communication and understanding of …
Static measurements of vowel formant frequencies and bandwidths: A review
RD Kent, HK Vorperian - Journal of communication disorders, 2018 - Elsevier
Purpose Data on vowel formants have been derived primarily from static measures
representing an assumed steady state. This review summarizes data on formant frequencies …
representing an assumed steady state. This review summarizes data on formant frequencies …
Dynamic multimodal measurement of depression severity using deep autoencoding
H Dibeklioğlu, Z Hammal… - IEEE journal of biomedical …, 2017 - ieeexplore.ieee.org
Depression is one of the most common psychiatric disorders worldwide, with over 350
million people affected. Current methods to screen for and assess depression depend …
million people affected. Current methods to screen for and assess depression depend …
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 …