Dear Colleagues,

It was a great pleasure hosting and listening Professor Cecilia Mascolo talk: “Listening to your health: Mobile Health Diagnostics through Audio Signals”. 

We would like to thank Professor Mascolo for the inspirational talk!

Prof. Cecilia Mascolo is a Full Professor of Mobile Systems in the Department of Computer Science and Technology, University of Cambridge. She is Co-Director of Centre for Mobile, Wearable Systems and Augmented Intelligence and a Fellow of Jesus College. She currently holds an ERC Advanced Grant on Audio-based Mobile Health Diagnostics (2019-2024) and was named among the 2016 – 10 Women in Networking/Communications That You Should Know.

Professor Cecilia Mascolo leads the development of the new app which will be used to collect data to develop machine learning algorithms that could automatically detect whether a person is suffering from COVID-19 based on the sound of their voice, their breathing and coughing. The app  has been launched by researchers at the University of Cambridge. “ COVID-19 Sounds App” now available as a web app for Chrome and Firefox browsers. Versions for Android and iOS will be available soon.

As COVID-19 is a respiratory condition, the sounds made by people with the condition – including voice, breathing and cough sounds – are very specific. A large, crowdsourced data set will be useful in developing machine learning algorithms that could be used for automatic detection of the condition.

The COVID-19 Sounds App collects basic demographic and medical information from users, as well as spoken voice samples, breathing and coughing samples through the phone’s microphone. The app will also ask users if they have tested positive for the coronavirus.

The study has been approved by the Ethics Committee of the Department of Computer Science and Technology, and is partly funded by the European Research Council through Project EAR.


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