most citedRepresentation Learning with Graph Neural Networks for Speech Emotion Recognition

1 citations · 1 across the 3 of their papers we have counts for

collaborators
Showing cs.SDShow all

2 papers · 1 filter

cs.SD2022

Improving Speech Emotion Recognition Through Focus and Calibration Attention Mechanisms

Junghun Kim, Yoojin An, Jihie Kim

Attention has become one of the most commonly used mechanisms in deep learning approaches. The attention mechanism can help the system focus more on the feature space's critical re…

cs.SD2022★ 1 cited

Representation Learning with Graph Neural Networks for Speech Emotion Recognition

Junghun Kim, Jihie Kim

Learning expressive representation is crucial in deep learning. In speech emotion recognition (SER), vacuum regions or noises in the speech interfere with expressive representation…