Machine Learning Diagnoses Pneumonia by Listening to Coughs #ASA183

Researchers have developed a machine learning algorithm to identify cough sounds and determine whether the subject is suffering from pneumonia. Because every room and recording device is different, they augmented their recordings with room impulse responses, which measure how the acoustics of a space react to different sound frequencies. By combining this data with the recorded cough sounds, the algorithm can work in any environment.