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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.
  • Zhou Q; Anhui Province Key Laboratory of Special Heavy Load Robot, Anhui University of Technology, Ma'anshan, China.
  • Shan J; Anhui Province Key Laboratory of Special Heavy Load Robot, Anhui University of Technology, Ma'anshan, China.
  • Ding W; Anhui Province Key Laboratory of Special Heavy Load Robot, Anhui University of Technology, Ma'anshan, China.
  • Wang C; Anhui Province Key Laboratory of Special Heavy Load Robot, Anhui University of Technology, Ma'anshan, China.
  • Yuan S; Anhui Province Key Laboratory of Special Heavy Load Robot, Anhui University of Technology, Ma'anshan, China.
  • Sun F; Beijing National Research Center for Information Science and Technology, Department of Computer Science and Technology, Tsinghua University, Beijing, China.
  • Li H; Robotics Institute, School of Automation, Beijing University of Posts and Telecommunications, Beijing, China.
  • Fang B; Beijing National Research Center for Information Science and Technology, Department of Computer Science and Technology, Tsinghua University, Beijing, China.
Front Robot AI ; 8: 580080, 2021.
Article in English | MEDLINE | ID: covidwho-1241221
ABSTRACT
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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Full text: Available Collection: International databases Database: MEDLINE Language: English Journal: Front Robot AI Year: 2021 Document Type: Article Affiliation country: Frobt.2021.580080

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Full text: Available Collection: International databases Database: MEDLINE Language: English Journal: Front Robot AI Year: 2021 Document Type: Article Affiliation country: Frobt.2021.580080