Lung Sound Classification

Lung Sound Classification is a task that involves the automatic recognition and categorization of lung sounds using audio signal processing and machine learning techniques. The goal of this task is to assist doctors in diagnosing lung diseases by analyzing abnormal features in breathing sounds, thereby enhancing the accuracy and efficiency of diagnoses. The ICBHI-2017 dataset provides a standard testing platform for research in this field, promoting the development and validation of algorithms.