The importance of detecting whether a person wears a face mask while speaking has
tremendously increased since the outbreak of SARS-CoV-2 (COVID-19), as wearing a mask …

This work focuses on the automatic detection of COVID-19 from the analysis of vocal
sounds, including sustained vowels, coughs, and speech while reading a short text …

The utilization of face masks is an essential healthcare measure, particularly during times of
pandemics, yet it can present challenges in communication in our daily lives. To address this …

Objective Medical masks have been shown to significantly influence speech communication
in healthy people. The effect of mask‐wearing on phonatory capability and daily …

We analyse four different acoustic feature sets towards the automatic recognition of
depression from speech signals. Specifically, the feature sets investigated are based on Mel …

We investigate the use of prototypical networks on the problems of face mask type (3
classes), face mask coverage area (3 classes), and face mask type and coverage area (5 …

Wearing a mask considerably mitigates the risk of infection from droplets. Automatic
detection of whether a person wears a mask in his/her daily life and the type of masks the …

This academic year, with the return to brick-and-mortar classes, interesting and unexpected
challenges are emerging. For some students, being off-campus and inhabiting a virtual …

During COVID-19, people often wear masks in daily activities or communication. To solve
the problem of generating faces with expressions under masks, we propose a framework of …

This thesis explores the use of deep learning technology in the fields of audio processing
and digital health from the perspectives of problem modelling, data fitting, data …