Voice disorder recognizer to aid diagnosis of a speech pathologist

Abstract

In the field of medicine, currently a variety of methods are used to identify the pathologies in the human speech production system. The most common drawbacks of those methods are the discomfort for the patient caused during inspection, the dependency of the results on medical practitioner's experience and the high cost of diagnosis involved if advanced systems are used. This research discusses how to overcome those drawbacks by using an leT tool that can provide quantitative evidence of the vocal disorder of patients to medical practitioners to diagnose pathologies in deceased speech producing system of patients.