Abstract : The voice is a prominent tool allowing people to communicate and to change information in their daily activities. However, any slight alteration in the voice production system may affect the voice quality. Over the last years, researchers in biomedical engineering field worked to develop a robust automatic system that may help clinicians to perform a preventive diagnosis in order to detect the voice pathologies in an early stage.
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DOI:
10.17148/IJARCCE.2021.106124
[1]
Varsha Jituri, Prof. Shobha Y
,
"Voice Pathologies Detection and Classification Using EMD-DWT Based on Higher Order Statistic Features,"
International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE),
DOI: 10.17148/IJARCCE.2021.106124
