Spatial–Temporal Recurrent Neural Network for Emotion Recognition
Spatial–Temporal Recurrent Neural Network for Emotion Recognition
In this paper, we propose a novel deep learning framework, called spatial-temporal recurrent neural network (STRNN), to integrate the feature learning from both spatial and temporal information of signal sources into a unified spatial-temporal dependency model. In STRNN, to capture those spatially co-occurrent variations of human emotions, a multidirectional recurrent …