Deep learning and attention mechanisms for speech emotion recognition: a review

Key Points

• This review aims to summarize the advances in using deep learning and attention mechanisms for speech emotion recognition.
• Review of existing literature on deep learning applications in emotion recognition.
• Analysis of attention mechanisms in processing speech data for emotional cues.
• Highlights successful applications of deep learning in speech emotion recognition.
• Discusses improvements in accuracy through attention mechanism integration.

Abstract