Automatic Detection and Classification of Cough Events Based on Deep Learning
2020 ◽
Vol 6
(3)
◽
pp. 322-325
Keyword(s):
AbstractIn 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.
Assessment of Facial Homogeneity with Regard to Genealogical Aspects Based on Deep Learning Approach
2021 ◽
Vol 12
(3)
◽
pp. 1550-1556
2020 ◽
Vol 13
(4)
◽
pp. 1972-1980