GCF-Net: global-aware cross-modal feature fusion network for speech emotion recognition.

Emotion recognition plays an essential role in interpersonal communication. However, existing recognition systems use only features of a single modality for emotion recognition, ignoring the interaction of information from the different modalities. Therefore, in our study, we propose a global-aware Cross-modal feature Fusion Network (GCF-Net) for recognizing emotion.