Sound-Dr Dataset and Baseline System for Detecting Respiratory Anomaly

As the COVID-19 pandemic significantly affects every aspect of human life, there is an urgent need for high-quality datasets for further COVID-19 research. We, therefore, introduce Sound-Dr dataset that not only provides quality coughing, mouth breathing, nose breathing sounds, but also valuable related metadata for detecting relevant-respiratory illness. We propose a proof-of-concept system that is effective for the detection of abnormalities in the respiratory sounds of patients. Our system has a promising processing time and good accuracy for real-time trials on mobile devices. The proposed dataset and system will serve as effective tools to assist physicians in diagnosing respiratory disorders.