Speech-based respiratory diagnostics: A study on COVID-19 detection with machine learning.

Respiratory sound analysis has emerged as a promising approach for detecting and diagnosing respiratory diseases, including COVID-19. This study investigates using OpenSMILE features for COVID-19 detection using vowel speech sounds /a/, /e/, and /o/ from the COSWARA dataset. OpenSMILE facilitates th...

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Bibliografiske detaljer

Principais autores:	Gaurav Datkhile, Pramod H Kachare, Sandeep B Sangle, Ibrahim Al-Shourbaji, Abdoh Jabbari, Raimund Kirner, Abdalla Alameen
Format:	Artigo
Sprog:	Inglês
Udgivet:	Public Library of Science (PLoS) 2025-01-01
Serier:	PLoS ONE
Online adgang:	https://doi.org/10.1371/journal.pone.0332146
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