2 papers
cs.HC2019
Towards Robust Deep Neural Networks for Affect and Depression Recognition from Speech
Alice Othmani, Daoud Kadoch, Kamil Bentounes +3
Intelligent monitoring systems and affective computing applications have emerged in recent years to enhance healthcare. Examples of these applications include assessment of affecti…
cs.HC2019
MFCC-based Recurrent Neural Network for Automatic Clinical Depression Recognition and Assessment from Speech
Emna Rejaibi, Ali Komaty, Fabrice Meriaudeau +2
Clinical depression or Major Depressive Disorder (MDD) is a common and serious medical illness. In this paper, a deep recurrent neural network-based framework is presented to detec…