Detection of COVID-19 from speech signal using bio-inspired based cepstral features

The early detection of COVID-19 is a challenging task due to its deadly spreading nature and existing fear in minds of people. Speech-based detection can be one of the safest tools for this purpose as the voice of the suspected can be easily recorded. The Mel Frequency Cepstral Coefficient (MFCC) an...

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Detalles Bibliográficos
Autores principales: Dash, Tusar Kanti, Mishra, Soumya, Panda, Ganapati, Satapathy, Suresh Chandra
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8086594/
https://www.ncbi.nlm.nih.gov/pubmed/33967346
http://dx.doi.org/10.1016/j.patcog.2021.107999

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8086594/
https://www.ncbi.nlm.nih.gov/pubmed/33967346
http://dx.doi.org/10.1016/j.patcog.2021.107999

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