Classification of Control/Pathologic Subjects with Support Vector Machines

• Published in: Procedia computer science Vol. 138; pp. 272 - 279
• Main Authors: Teixeira, Felipe, Fernandes, Joana, Guedes, Vitor, Junior, Arnaldo, Teixeira, João Paulo
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 2018
• Subjects: HNR; Jitter; MFCCs; Shimmer; SVM functions; SVM methods; Vocal Acoustic Analysis; Vocal Acoustic Analysis; MFCCs; Jitter; Shimmer; SVM functions; HNR; SVM methods
• ISSN: 1877-0509; 1877-0509
• DOI: 10.1016/j.procs.2018.10.039

The diagnosis of pathologies using vocal acoustic analysis has the advantage of been noninvasive and inexpensive technique compared to traditional technique in use. In this work the SVM were experimentally tested to diagnose dysphonia, chronic laryngitis or vocal cords paralysis. Three groups of par...