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Sounds of COVID-19: exploring realistic performance of audio-based digital testing

Medicine and Health

Sounds of COVID-19: exploring realistic performance of audio-based digital testing

J. Han, T. Xia, et al.

This groundbreaking research conducted by Jing Han, Tong Xia, and their colleagues investigates the effectiveness of audio-based methods for detecting COVID-19. With a unique dataset comprised of cough, breath, and voice samples, they reveal the realistic performance of these testing approaches, emphasizing the need for robust evaluation strategies to avoid misleading results.... show more
Citation Metrics
Citations
88
Influential Citations
12
Reference Count
44
Citation by Year

Note: The citation metrics presented here have been sourced from Semantic Scholar and OpenAlex.

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