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2019 International Joint Conference on Information, Media and Engineering (IJCIME)
Mental health disorder is a global topic, the current situation is particularly serious in China. The objective and automated detecting of mental health using speech signal has become popular. In the absence of depressed speech corpus, the authors regard depression as a negative emotion, and build the model by Convolution Neural Networks (CNNs), a machine learning method for detecting mental health disorder interchanging with emotional speech. In this experiment, the segmented speech wasdoi:10.1109/ijcime49369.2019.00094 fatcat:e2ux7j3um5ffdjacman6sea5jq