kkaustubh0/openSMILE_based_Features_for_Depression_Classification

In this implementation, 88 dimensional openSMILE features have been extracted for the speech signal and have been used for classification of depressed and non-depressed speech using simple feed forward neural networks. Also these 88-dimesional feature vectors have been encoded to a smaller dimension using an autoencoder and classification is done.

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