COVID-19 Sounds App
Upload short recordings of cough and breathing and report symptoms to help researchers from the University of Cambridge detect if a person is suffering from COVID-19. Healthy and non-healthy participants welcome.
Volunteer your voice
The app will collect some voice samples (while you read text on the screen), and a few seconds of breathing and coughing.
Contribute to science
We need many participants in order to build predictive models and contribute to the early diagnosis of COVID-19.
No tracking
The app won't be tracking you and it will collect data when you actively interact with it.
Research Updates
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...
Supported by
The study has been approved by the Ethics Committee of the Department of Computer Science and Technology, University of Cambridge and is partly funded by the European Research Council through Project EAR.
Team
Cecilia Mascolo
Cecilia is Professor of Mobile Systems. She is an expert in mobile health and mobile data analysis.
Andres Floto
Andres is Professor of Respiratory Biology and Research Director of the Cambridge Centre for Lung Infection at Papworth Hospital.
Andreas Grammenos
Andreas is a PhD student in Computer Science with interests in machine learning, data science, and systems.
Apinan Hasthanasombat
Api is a PhD Student in Computer Science with interests in causal inference and its applications to systems data and design.
Dimitris Spathis
Dimitris is a PhD Student in Computer Science with interests in machine learning and health data science.
Tong Xia
Tong is a visitor and an incoming PhD student in Cambridge. She is interested in data mining and machine learning.
COVID-19 Sounds in the press
