Automatic cough detection from realistic audio recordings using C-BiLSTM with boundary regression

Automatic cough detection in the patients’ realistic audio recordings is of great significance to diagnose and monitor respiratory diseases, such as COVID-19. Many detection methods have been developed so far, but they are still unable to meet the practical requirements. In this paper, we present a...

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Detalles Bibliográficos
Autores principales: You, Mingyu, Wang, Weihao, Li, You, Liu, Jiaming, Xu, Xianghuai, Qiu, Zhongmin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9760237/
https://www.ncbi.nlm.nih.gov/pubmed/36569172
http://dx.doi.org/10.1016/j.bspc.2021.103304

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9760237/
https://www.ncbi.nlm.nih.gov/pubmed/36569172
http://dx.doi.org/10.1016/j.bspc.2021.103304

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