Detection of covid-19 via automatic cough analysis

So reveals a study accepted by the Interspeech 2021 congress, to be held in Brno (Czech Republic) this coming August. A study led by Adrià Mallol and Helena Cuesta, UPF alumni and researcher at the University of Augsburg and researcher with the Music Technology research group, respectively. The covid-19 crisis has tested healthcare systems throughout the world. Access to vaccines against covid-19 has rendered the situation more stable by the day. However, we must and will have to continue mass population screening to detect positive cases and thus break possible virus transmission chains. Hence, we must investigate new techniques to reduce the time and cost of diagnostic tests to carry them out on a large scale in an accessible, efficient and economical manner. In the framework of the Interspeech 2021 international congress, a team of researchers has submitted the system to the Cough Sound Track of the Diagnosing COVID-19 using Acoustics (DiCOVA) Challenge.