Rapid and affordable methods of testing for COVID-19 infections are essential to reduce
infection rates and prevent medical facilities from becoming overwhelmed. Current …

Background The inability to test at scale has become humanity's Achille's heel in the
ongoing war against the COVID-19 pandemic. A scalable screening tool would be a game …

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

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 …

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

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 …

To identify Coronavirus disease (COVID-19) cases efficiently, affordably, and at scale, recent
work has shown how audio (including cough, breathing and voice) based approaches can …

The COVID-19 pandemic presents global challenges transcending boundaries of country,
race, religion, and economy. The current gold standard method for COVID-19 detection is …

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 …

This work develops a robust classifier for a COVID-19 pre-screening model from
crowdsourced cough sound data. The crowdsourced cough recordings contain a variable …