A summary of the ComParE COVID-19 challenges.
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Peer-reviewed
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Type
Article
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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).
Description
Peer reviewed: True
Keywords
COVID-19, Digital Health, computer audition, deep learning, machine learning
Journal Title
Front Digit Health
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Journal ISSN
2673-253X
2673-253X
2673-253X
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Publisher
Frontiers Media SA
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Sponsorship
European Commission Horizon 2020 (H2020) ERC (833296)