Automated Covid-19 Respiratory Symptoms Analysis from Speech and Cough

An effective contact tracking strategy helps to maintain control over the Covid-19 pandemic. People without visible symptoms make it a complex problem because there has to be an unobtrusive way to discover that they are virus carriers and have to be isolated. Automated Covid-19 respiratory symptoms analysis helps to focus on people with respiratory symptoms. In our approach, a telephone call system leads a dialog and discovers Covid-19 disease by analyzing a person’s speech and cough. After a positive match, it invites the person to PCR testing to confirm or reject the diagnosis. We compare our speech and cough detection system with Interspeech Computational Paralinguistics Challenge (ComParE) 2021. The results of Covid-19 Speech Sub-Challenge sub-challenge (CSS) show that we outperform the baseline results by 4 .3% of the Unweighted Average Recall value.