捐献您的声音
我们会收集一些语音样本(当您朗读屏幕上给出的文本)，和几秒钟的呼吸以及咳嗽。
研究贡献
我们需要大量的参与用户数据以构建训练预测模型用于基于声音的早期新冠肺炎的鉴别。
隐私保护
本应用程序不会追踪您的信息，只在您与其互动时收集被允许的信息。
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...
项目支持
该研究已经获得剑桥大学计算机科学与技术伦理委员会的批准，并部分由欧洲研究委员会项目'EAR'资助。
研究团队
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 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
