COVID-19 Sounds App
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研究进展
Longitudinal COVID-19 progression modeling
June 21, 2022 — Can we continuously detect and track individuals’ COVID-19 disease progression in a remote monitoring context?
Releasing our large-scale audio dataset
November 20, 2021 — We are releasing our comprehensive large-scale COVID-19 audio dataset to the research community in NeurIPS 2021.
Uncertainty-aware COVID-19 detection
June 28, 2021 — To what extent can we trust artificial intelligence (AI) models when used as an automatic screening tool for COVID-19? Our previous...
Voice and speech as predictors of COVID-19
February 11, 2021 — Voice-operated AI assistants and smart speakers are increasingly gaining popularity while voice features are emerging biomarkers...
30,000 audio recordings & counting!
November 1, 2020 — As of today, the COVID-19 Sounds study app has more than 16,000 people contributing over 30,000 audio recordings and sympt...
Sharing data with the academic community
August 19, 2020 — We would like to share with the community the data we have been collecting. Because the data is sensitive, we have to share this...
Detecting COVID-19 with respiratory sounds
July 20, 2020 — We are developing pre-screening models that are able to indicate if someone is likely to have COVID-19, based solely on sounds re...
The power of audio in diagnosis
May 18, 2020 — Audio signals generated by the human body have often been used by clinicians and clinical researchers as diagnostic or progression...