Cough Recognition Based on Mel-Spectrogram and Convolutional Neural Network

In daily life, there are a variety of complex sound sources. It is important to effectively detect certain sounds in some situations. With the outbreak of COVID-19, it is necessary to distinguish the sound of coughing, to estimate suspected patients in the population. In this paper, we propose a met...

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Detalles Bibliográficos
Autores principales: Zhou, Quan, Shan, Jianhua, Ding, Wenlong, Wang, Chengyin, Yuan, Shi, Sun, Fuchun, Li, Haiyuan, Fang, Bin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Robotics and AI
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8138471/
https://www.ncbi.nlm.nih.gov/pubmed/34026854
http://dx.doi.org/10.3389/frobt.2021.580080
Descripción
Sumario:In daily life, there are a variety of complex sound sources. It is important to effectively detect certain sounds in some situations. With the outbreak of COVID-19, it is necessary to distinguish the sound of coughing, to estimate suspected patients in the population. In this paper, we propose a method for cough recognition based on a Mel-spectrogram and a Convolutional Neural Network called the Cough Recognition Network (CRN), which can effectively distinguish cough sounds.

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