COVID-19 respiratory sound analysis and classification using audio textures

COVID-19 respiratory sound analysis and classification using audio textures

Since the COVID-19 outbreak, a major scientific effort has been made by researchers and companies worldwide to develop a digital diagnostic tool to screen this disease through some biomedical signals, such as cough, and speech. Joint time–frequency feature extraction techniques and machine learning...

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Bibliographic Details
Main Authors: Leticia Silva, Carlos Valadão, Lucas Lampier, Denis Delisle-Rodríguez, Eliete Caldeira, Teodiano Bastos-Filho, Sridhar Krishnan
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-10-01
Series:Frontiers in Signal Processing
Subjects:
COVID-19
local binary pattern
local ternary pattern
speech
cough
breath
Online Access:https://www.frontiersin.org/articles/10.3389/frsip.2022.986293/full

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