CovidCoughNet: A new method based on convolutional neural networks and deep feature extraction using pitch-shifting data augmentation for covid-19 detection from cough, breath, and voice signals

This study proposes a new deep learning-based method that demonstrates high performance in detecting Covid-19 disease from cough, breath, and voice signals. This impressive method, named CovidCoughNet, consists of a deep feature extraction network (InceptionFireNet) and a prediction network (DeepCon...

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Detalles Bibliográficos
Autor principal: Celik, Gaffari
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10249348/
https://www.ncbi.nlm.nih.gov/pubmed/37321101
http://dx.doi.org/10.1016/j.compbiomed.2023.107153

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10249348/
https://www.ncbi.nlm.nih.gov/pubmed/37321101
http://dx.doi.org/10.1016/j.compbiomed.2023.107153

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