AUTHOR=Coppock Harry , Akman Alican , Bergler Christian , Gerczuk Maurice , Brown Chloë , Chauhan Jagmohan , Grammenos Andreas , Hasthanasombat Apinan , Spathis Dimitris , Xia Tong , Cicuta Pietro , Han Jing , Amiriparian Shahin , Baird Alice , Stappen Lukas , Ottl Sandra , Tzirakis Panagiotis , Batliner Anton , Mascolo Cecilia , Schuller Björn W. TITLE=A summary of the ComParE COVID-19 challenges JOURNAL=Frontiers in Digital Health VOLUME=5 YEAR=2023 URL=https://www.frontiersin.org/journals/digital-health/articles/10.3389/fdgth.2023.1058163 DOI=10.3389/fdgth.2023.1058163 ISSN=2673-253X ABSTRACT=

The COVID-19 pandemic has caused massive humanitarian and economic damage. Teams of scientists from a broad range of disciplines have searched for methods to help governments and communities combat the disease. One avenue from the machine learning field which has been explored is the prospect of a digital mass test which can detect COVID-19 from infected individuals’ respiratory sounds. We present a summary of the results from the INTERSPEECH 2021 Computational Paralinguistics Challenges: COVID-19 Cough, (CCS) and COVID-19 Speech, (CSS).