Multimodal assistive technologies for depression diagnosis and monitoring
Depression is a severe mental health disorder with high societal costs. Current clinical
practice depends almost exclusively on self-report and clinical opinion, risking a range of …
practice depends almost exclusively on self-report and clinical opinion, risking a range of …
Detecting depression: a comparison between spontaneous and read speech
Major depressive disorders are mental disorders of high prevalence, leading to a high
impact on individuals, their families, society and the economy. In order to assist clinicians to …
impact on individuals, their families, society and the economy. In order to assist clinicians to …
A comparative study of different classifiers for detecting depression from spontaneous speech
Accurate detection of depression from spontaneous speech could lead to an objective
diagnostic aid to assist clinicians to better diagnose depression. Little thought has been …
diagnostic aid to assist clinicians to better diagnose depression. Little thought has been …
[PDF][PDF] Characterising depressed speech for classification
Depression is a serious psychiatric disorder that affects mood, thoughts, and the ability to
function in everyday life. This paper investigates the characteristics of depressed speech for …
function in everyday life. This paper investigates the characteristics of depressed speech for …
Study of wavelet packet energy entropy for emotion classification in speech and glottal signals
The automatic speech emotion recognition has important applications in human-machine
communication. Majority of current research in this area is focused on finding optimal feature …
communication. Majority of current research in this area is focused on finding optimal feature …
From joyous to clinically depressed: Mood detection using multimodal analysis of a person's appearance and speech
S Alghowinem - 2013 Humaine Association Conference on …, 2013 - ieeexplore.ieee.org
Clinical depression is a critical public health problem, with high costs associated to a
person's functioning, mortality, and social relationships, as well as the economy overall …
person's functioning, mortality, and social relationships, as well as the economy overall …
Stress and emotion recognition using acoustic speech analysis
M Lech, L He - Mental Health Informatics, 2013 - Springer
This chapter describes computational methods for an automatic recognition of stress levels
and different types of speaker's emotions expressed in natural, not acted speech. A range of …
and different types of speaker's emotions expressed in natural, not acted speech. A range of …
Introducing emotions to the modelingof intra-and inter-personal influencesin parent-adolescent conversations
MN Stolar, M Lech, LB Sheeber… - IEEE Transactions …, 2013 - ieeexplore.ieee.org
An understanding of the dynamics underlying emotional interactions between speakers is
essential to the design of effective conversational strategies for interviews, mental health …
essential to the design of effective conversational strategies for interviews, mental health …
Detection and prediction of clinical depression
M Lech, LS Low, KE Ooi - Mental Health Informatics, 2013 - Springer
Clinical depression belongs to the group of affective (mood) disorders in which emotional
disturbances consist of prolonged periods of excessive sadness. Depressed individuals …
disturbances consist of prolonged periods of excessive sadness. Depressed individuals …
[PDF][PDF] Formant frequency tracking using Gaussian mixtures with maximum a posteriori adaptation.
We present a novel method for estimating formant frequencies by fitting Gaussian mixtures
to discrete Fourier Transform (DFT) magnitude spectra. The method first estimates the …
to discrete Fourier Transform (DFT) magnitude spectra. The method first estimates the …