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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 10, ISSUE 6, JUNE 2021

Voice Pathologies Detection and Classification Using EMD-DWT Based on Higher Order Statistic Features

Varsha Jituri, Prof. Shobha Y

DOI: 10.17148/IJARCCE.2021.106124

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.

How to Cite:

[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