Classification of control/pathologic subjects with support vector machines

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...

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Detalhes bibliográficos
Autor principal: Teixeira, Felipe L. (author)
Outros Autores: Fernandes, Joana Filipa Teixeira (author), Guedes, Victor (author), Candido Junior, Arnaldo (author), Teixeira, João Paulo (author)
Formato: conferenceObject
Idioma:eng
Publicado em: 2020
Assuntos:
Vocal acoustic analysis
MFCCs
Jitter
Shimmer
HNR
SVM functions
SVM methods
Texto completo:http://hdl.handle.net/10198/21791
País:Portugal
Oai:oai:bibliotecadigital.ipb.pt:10198/21791

Texto Completo

http://hdl.handle.net/10198/21791

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