Clinically Relevant Sound-Based Features in COVID-19 Identification: Robustness Assessment With a Data-Centric Machine Learning Pipeline

Clinically Relevant Sound-Based Features in COVID-19 Identification: Robustness Assessment With a Data-Centric Machine Learning Pipeline

As long as the COVID-19 pandemic is still active in most countries worldwide, rapid diagnostic continues to be crucial to mitigate the impact of seasonal infection waves. Commercialized rapid antigen self-tests proved they cannot handle the most demanding periods, lacking availability and leading to...

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Bibliographic Details
Main Authors: Pedro Matias, Joao Costa, Andre V. Carreiro, Hugo Gamboa, Ines Sousa, Pedro Gomez, Joana Sousa, Nuno Neuparth, Pedro Carreiro-Martins, Filipe Soares
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
COVID-19
speech
vocal tract
signal processing
feature extraction
data-centric
Online Access:https://ieeexplore.ieee.org/document/9906975/

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