Sound-Dr Dataset

Sound-Dr: Reliable Sound Dataset and Baseline Artificial Intelligence System for Respiratory Illnesses

A high-quality and reliable dataset of human sounds for studying respiratory illnesses, including pneumonia and COVID-19. It consists of coughing, mouth breathing, and nose breathing sounds, together with metadata on related clinical characteristics.

Source

• Paper: Truong, Hoang Van et al. "Sound-Dr: Reliable Sound Dataset and Baseline Artificial Intelligence System for Respiratory Illnesses." 4th Asia Pacific Conference of the Prognostics and Health Management Society (PHMAP), 2023.
• Original code & data: https://github.com/ReML-AI/Sound-Dr (sounddr_data/ directory)
• The dataset was distributed by the authors as a password-protected zip archive via Google Drive; this repository hosts the extracted contents for convenient access.

Citation

@inproceedings{Truong:2023,
    title={Sound-Dr: Reliable Sound Dataset and Baseline Artificial Intelligence System for Respiratory Illnesses},
    author={Truong, Hoang Van and Quang, Nguyen Huu and Cuong, Nguyen Quoc and Phong, Nguyen Xuan and Hoang, D. Nguyen},
    booktitle={4th Asia Pacific Conference of the Prognostics and Health Management Society (PHMAP)},
    year={2023},
}

License / Use

This is a mirror of the publicly distributed Sound-Dr dataset for research use. Please cite the original paper and respect any terms stated by the dataset authors.