Project Achoo: A Practical Model and Application for COVID-19 Detection From Recordings of Breath, Voice, and Cough

@article{Ponomarchuk2022ProjectAA,
  title={Project Achoo: A Practical Model and Application for COVID-19 Detection From Recordings of Breath, Voice, and Cough},
  author={Alexander Ponomarchuk and Ilya Burenko and Elian Malkin and Ivan Nazarov and Vladimir Kokh and Manvel Avetisian and Leonid Zhukov},
  journal={IEEE Journal of Selected Topics in Signal Processing},
  year={2022},
  volume={16},
  pages={175-187}
}
The COVID-19 pandemic created significant interest and demand for infection detection and monitoring solutions. In this paper, we propose a machine learning method to quickly detect COVID-19 using audio recordings made on consumer devices. The approach combines signal processing and noise removal methods with an ensemble of fine-tuned deep learning networks and enables COVID detection on coughs. We have also developed and deployed a mobile application that uses a symptoms checker together with… 

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