Machine learning-based voice assessment for the detection of positive and recovered COVID-19 patients

xlomafota13 shared this article with you from Inoreader Machine learning-based voice assessment for the detection of positive and recovered COVID-19 patients Via Journal of Voice Many virological tests have been implemented during the COVID-19 pandemic for diagnostic purposes, but they appear unsuitable for screening purposes. Furthermore, current screening strategies are not accurate enough to effectively curb the spread of the disease. Therefore, the present study was conducted within a controlled clinical environment to determine eventual detectable variations in the voice of COVID-19 patients, recovered and healthy subjects, and also to determine whether machine learning-based voice assessment (MLVA) can accurately discriminate between them, thus potentially serving as a more effective mass-screening tool. View on the web Inoreader. Take back control of your news feed. Follow us on Twitter and Facebook.