An Interaction-aware Attention Network for Speech Emotion Recognition in Spoken Dialogs
In this work, we propose an interaction-aware attention network (IAAN) that incorporate contextual information in the learned vocal representation through a novel attention mechanism. Our proposed method achieves 66.3% accuracy (7.9% over baseline methods) in four class emotion recognition and is also the current state-of-art recognition rates obtained on the benchmark database IEMOCAP.
PDF AbstractDatasets
Results from the Paper
Submit
results from this paper
to get state-of-the-art GitHub badges and help the
community compare results to other papers.
Methods
No methods listed for this paper. Add
relevant methods here