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.

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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.

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Contribute to science

We need many participants in order to build predictive models and contribute to the early diagnosis of COVID-19.

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No tracking

The app won't be tracking you and it will collect data when you actively interact with it.

Research Updates

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...

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.

Pietro Cicuta

Pietro is Professor of Biological Physics at the Cavendish Laboratory, Cambridge.

Andres Floto

Andres is Professor of Respiratory Biology and Research Director of the Cambridge Centre for Lung Infection at Papworth Hospital.

Chloe Brown

Chloe has a PhD in Computer Science and is a junior doctor.

Jagmohan Chauhan

Jagmohan is a postdoctoral researcher in Mobile Systems.

Jing Han

Jing is a postdoctoral researcher with interests in deep learning and digital health.

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 PhD student Computer Science. She is interested in data mining and machine learning.

Ting Dang

Ting is a post-doctoral researcher with interests in speech-processing, affective computing, and audio based health diagnosis.

COVID-19 Sounds in the press