Abstract The Coronavirus (COVID-19) pandemic impelled several research efforts, from
collecting COVID-19 patients' data to screening them for virus detection. Some COVID-19 …

The Coronavirus (COVID-19) pandemic has been the research focus world-wide in the year
2020. Several efforts, from collection of COVID-19 patients' data to screening them for the …

At the time of writing this article, the world population is suffering from more than 2 million
registered COVID-19 disease epidemic-induced deaths since the outbreak of the corona …

The COVID-19 outbreak was announced as a global pandemic by the World Health
Organization in March 2020 and has affected a growing number of people in the past few …

Since the outbreak of COVID-19, many efforts have been made to utilize the respiratory
sounds and coughs collected by smartphones for training Machine Learning models to …

Today, there is a level of panic and chaos dominating the entire world due to the massive
outbreak in the second wave of COVID-19 disease. As the disease has numerous symptoms …

Recently, there has been an increased attention towards innovating, enhancing, building,
and deploying applications of speech signal processing for providing assistance and relief …

COVID-19 heavily affects breathing and voice and causes symptoms that make patients'
voices distinctive, creating recognizable audio signatures. Initial studies have already …

Goal: We hypothesized that COVID-19 subjects, especially including asymptomatics, could
be accurately discriminated only from a forced-cough cell phone recording using Artificial …

Audio signals are widely recognised as powerful indicators of overall health status, and
there has been increasing interest in leveraging sound for affordable COVID-19 screening …