Evaluating the COVID-19 Identification ResNet (CIdeR) on the INTERSPEECH COVID-19 From Audio Challenges

Several machine learning-based COVID-19 classifiers exploiting vocal biomarkers of COVID-19 has been proposed recently as digital mass testing methods. Although these classifiers have shown strong performances on the datasets on which they are trained, their methodological adaptation to new datasets...

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Detalles Bibliográficos
Autores principales: Akman, Alican, Coppock, Harry, Gaskell, Alexander, Tzirakis, Panagiotis, Jones, Lyn, Schuller, Björn W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Digital Health
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9302571/
https://www.ncbi.nlm.nih.gov/pubmed/35873349
http://dx.doi.org/10.3389/fdgth.2022.789980

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9302571/
https://www.ncbi.nlm.nih.gov/pubmed/35873349
http://dx.doi.org/10.3389/fdgth.2022.789980

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