Sound Dr -- A database of Respiratory Sound and Baseline System for COVID-19 Detection

Hoang Van Truong, Nguyen Thi Anh Sinh, Nguyen Quoc Cuong, Nguyen Xuan Phong

As the COVID-19 pandemic significantly affect every aspects of human life, it is urgent to provide a data for further researches. We, therefore, introduce a dataset named Sound Dr Database which provides not only quality sounds of coughing and breathing but also metadata for relevant-respiratory illness or diseases. Creating proof-of-concept systems is effective for the detection of abnormalities in the respiratory sounds of patients. These solutions will serve as effective tools to assist physicians in diagnosing respiratory disorders.

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