  We present our preliminary work to determine if patient's vocal acoustic,
linguistic, and facial patterns could predict clinical ratings of depression
severity, namely Patient Health Questionnaire depression scale (PHQ-8). We
proposed a multi modal fusion model that combines three different modalities:
audio, video , and text features. By training over AVEC 2017 data set, our
proposed model outperforms each single modality prediction model, and surpasses
the data set baseline with ice margin.
