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BY 4.0 license Open Access Published by De Gruyter November 26, 2020

Automatic Detection and Classification of Cough Events Based on Deep Learning

  • Seyed Amir Hossein Tabatabaei EMAIL logo , Gabriela Augustinov , Volker Gross , Keywan Sohrabi , Patrick Fischer and Ulrich Koehler


In this paper, a deep learning approach for classification of cough sound segments is presented. The architecture of the network is based on a pre-trained network and the spectrogram images of three recording channels have been extracted for the sake of training the network. The classification accuracy based on three recording channels is 92% for a binary classification model and the network converges fast. Two classification models based on binary and multi-class problems are proposed. Relevant classification parameters including the Receiver Operating Characteristic (ROC) curve are reported.

Published Online: 2020-11-26
Published in Print: 2020-09-01

© 2020 by Walter de Gruyter Berlin/Boston

This work is licensed under the Creative Commons Attribution 4.0 International License.

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