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
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author Zhou, Quan
Shan, Jianhua
Ding, Wenlong
Wang, Chengyin
Yuan, Shi
Sun, Fuchun
Li, Haiyuan
Fang, Bin
author_facet Zhou, Quan
Shan, Jianhua
Ding, Wenlong
Wang, Chengyin
Yuan, Shi
Sun, Fuchun
Li, Haiyuan
Fang, Bin
author_sort Zhou, Quan
collection PubMed
description 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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spelling pubmed-81384712021-05-22 Cough Recognition Based on Mel-Spectrogram and Convolutional Neural Network Zhou, Quan Shan, Jianhua Ding, Wenlong Wang, Chengyin Yuan, Shi Sun, Fuchun Li, Haiyuan Fang, Bin Front Robot AI Robotics and AI 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. Frontiers Media S.A. 2021-05-07 /pmc/articles/PMC8138471/ /pubmed/34026854 http://dx.doi.org/10.3389/frobt.2021.580080 Text en Copyright © 2021 Zhou, Shan, Ding, Wang, Yuan, Sun, Li and Fang. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Robotics and AI
Zhou, Quan
Shan, Jianhua
Ding, Wenlong
Wang, Chengyin
Yuan, Shi
Sun, Fuchun
Li, Haiyuan
Fang, Bin
Cough Recognition Based on Mel-Spectrogram and Convolutional Neural Network
title Cough Recognition Based on Mel-Spectrogram and Convolutional Neural Network
title_full Cough Recognition Based on Mel-Spectrogram and Convolutional Neural Network
title_fullStr Cough Recognition Based on Mel-Spectrogram and Convolutional Neural Network
title_full_unstemmed Cough Recognition Based on Mel-Spectrogram and Convolutional Neural Network
title_short Cough Recognition Based on Mel-Spectrogram and Convolutional Neural Network
title_sort cough recognition based on mel-spectrogram and convolutional neural network
topic Robotics and AI
url 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
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