Colloquially known as coronavirus, the Severe Acute Respiratory Syndrome CoronaVirus 2
(SARS-CoV-2), that causes CoronaVirus Disease 2019 (COVID-19), has become a matter of …

Speech carries essential information about the speaker's physiology and possible
pathophysiological conditions. Bio-acoustic voice qualities show promising value for …

We propose a filtering feature selection framework that considers subsets of features as
paths in a graph, where a node is a feature and an edge indicates pairwise (customizable) …

Feature Selection Library (FSLib) is a widely applicable MATLAB library for Feature
Selection (FS). FS is an essential component of machine learning and data mining which …

Physiological studies have illustrated that speech can be used as a biomarker to analyze the
severity of depression and different frequency bands of the speech spectrum contribute …

BackgroundLate-life depression (LLD) is associated with poor social functioning. However,
previous research uses bias-prone self-report scales to measure social functioning and a …

The need to release accurate and incontrovertible diagnoses of depression has fueled the
search for new methodologies to obtain more reliable measurements than the commonly …

How we perceive a person (ie, trustworthy, likeable, competent) is influenced by prosodic
features like speech rate or pitch. Despite the relevance of such aspects in psychotherapy …

This article shows that an attention mechanism, the Multi-Local Attention, can improve a
depression detection approach based on Long Short-Term Memory Networks. Besides …

Machine learning models for speech-based depression classification offer promise for
health care applications. Despite growing work on depression classification, little is …