Covid-19 Detection By Cough And Voice Analysis

Emergency services receive a large number of calls during an epidemic. Some calls are from people who are critical cases and require a rapid intervention. However, we have identified that the volume of calls and complexity of remote diagnosis may lead to delays or failure in diagnosis. We will develop a classification system for health status based on the voice and cough patterns of the caller. Respiratory conditions, such as dry cough, sore throat, excessively breathy voice and dyspnea, caused by Covid-19, can make patients' voices distinctive, creating identifiable voice signatures, that may be discovered using the proposed system. CDCVA project will provide a way for health professionals to improve remote diagnosis while also minimising contact between medical staff and patients.