CMU Sounds for COVID Project
Published in CMU Language Technologies Institute, 2020
The CMU Sounds for COVID Project is a research initiative aimed at developing audio-based detection methods for COVID-19. The project collects and analyzes voice and respiratory sounds to identify acoustic biomarkers that may be indicative of COVID-19 infection. This work contributes to the broader effort of developing non-invasive screening tools for respiratory illnesses using machine learning and signal processing techniques.
Recommended citation: @misc{raj2020cmusounds, title={CMU Sounds for COVID Project}, author={Raj, Bhiksha and Singh, Rita and Shah, Ankit and Striner, Benjamin and Memon, Shahan Ali and Sanil, Vedant and Deshmukh, Soham and Kangrui, Ruan and Al Ismail, Mahmoud and Dhamyal, Hira and Sakr, Majd and Wolfe, Nicholas and Ur, Shmuel}, howpublished={\url{https://node.dev.cvd.lti.cmu.edu/}}, year={2020} }