The current pandemic associated with the novel coronavirus (COVID-19) presents a new
area of research with its own set of challenges. Creating unobtrusive remote monitoring …

We present a machine learning based COVID-19 cough classifier which can discriminate
COVID-19 positive coughs from both COVID-19 negative and healthy coughs recorded on a …

In an attempt to reduce the infection rate of the COrona VIrus Disease-19 (Covid-19)
countries around the world have echoed the exigency for an economical, accessible, point …

For COVID-19, the need for robust, inexpensive, and accessible screening becomes critical.
Even though symptoms present differently, cough is still taken as one of the primary …

Testing capacity for COVID-19 remains a challenge globally due to the lack of adequate
supplies, trained personnel, and sample-processing equipment. These problems are even …

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

OBJECTIVE: Our objective is to evaluate the possibility of using cough audio recordings
(spontaneous or simulated) to detect sound patterns in people who are diagnosed with …

Background Since the emergence of COVID-19 in December 2019, multidisciplinary
research teams have wrestled with how best to control the pandemic in light of its …

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

Cough audio signal classification has been successfully used to diagnose a variety of
respiratory conditions, and there has been significant interest in leveraging Machine …