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An Interaction-aware Attention Network for Speech Emotion Recognition in Spoken Dialogs

2019-04-17ICASSP 2019Code Available0· sign in to hype

Sung-Lin Yeh, Yun-Shao Lin, Chi-Chun Lee

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Abstract

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.

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