Before revision:  The proposed framework is evaluated on the DAIC-WOZ corpus of the AVEC2017 challenge and promising results are obtained. An overall accuracy of 76.27 %DIF < with a root mean square error of 0.4 is achieved in assessing depression, while a root mean square error of 0.168 is achieved in predicting the depression severity levels.abstract 
After revision:  The proposed framework  %DIF < with a root mean square error of 0.4 is achieved in assessing depression, while a root mean square error of 0.168 is achieved in predicting the depression severity levels.abstract