Identifying individuals with recent COVID-19 through voice classification using deep learning

Recently deep learning has attained a breakthrough in model accuracy for the classification of images due mainly to convolutional neural networks. In the present study, we attempted to investigate the presence of subclinical voice feature alteration in COVID-19 patients after the recent resolution o...

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Detalles Bibliográficos
Autores principales: Suppakitjanusant, Pichatorn, Sungkanuparph, Somnuek, Wongsinin, Thananya, Virapongsiri, Sirapong, Kasemkosin, Nittaya, Chailurkit, Laor, Ongphiphadhanakul, Boonsong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8476606/
https://www.ncbi.nlm.nih.gov/pubmed/34580407
http://dx.doi.org/10.1038/s41598-021-98742-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8476606/
https://www.ncbi.nlm.nih.gov/pubmed/34580407
http://dx.doi.org/10.1038/s41598-021-98742-x

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