Corpus ID: 221878789

The COUGHVID crowdsourcing dataset: A corpus for the study of large-scale cough analysis algorithms

@article{Orlandic2020TheCC,
  title={The COUGHVID crowdsourcing dataset: A corpus for the study of large-scale cough analysis algorithms},
  author={Lara Orlandic and T. Teijeiro and D. Atienza},
  journal={ArXiv},
  year={2020},
  volume={abs/2009.11644}
}

• Lara Orlandic, T. Teijeiro, D. Atienza
• Published 2020
• Computer Science, Engineering
• ArXiv

Cough audio signal classification has been successfully used to diagnose a variety of respiratory conditions, and there has been significant interest in leveraging Machine Learning (ML) to provide widespread COVID-19 screening. However, there is currently no validated database of cough sounds with which to train such ML models. The COUGHVID dataset provides over 20,000 crowdsourced cough recordings representing a wide range of subject ages, genders, geographic locations, and COVID-19 statuses… Expand

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