Description of Invention
DysphoSense is a Machine Learning (ML) application for detecting voice disorder problems. Traditionally voice disorders are diagnosed with invasive procedures which are not very appealing in nature. The objective was to design and evaluate the performance of an innovative Dysphonia Detection System (DDS) with Mel-Frequency Cepstral Coefficient (MFCC). The motivation was the need for a user friendly, practical, quick and easy to use DSS. The application is capable of detecting early voice disorder problems and recommends the appropriate measures to resolve them. There is high potential for commercializing the system to educational institutions, schools and vocalist.