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Voice Pathologies Classification Using GMM And SVM Classifiers
2021
International Journal of Mathematics and Computers in Simulation
In this paper we investigate the proprieties of automatic speaker recognition (ASR) to develop a system for voice pathologies detection, where the model does not correspond to a speaker but it corresponds to group of patients who shares the same diagnostic. One of essential part in this topic is the database (described later), the samples voices (healthy and pathological) are chosen from a German database which contains many diseases, spasmodic dysphonia is proposed for this study. This
doi:10.46300/9102.2021.15.21
fatcat:cs6kdbx3yrebzdn3wu3be7epju