Emo-STCapsnet: A spatio-temporal modeling approach with enhanced CapsNet for speech emotion recognition

Key Points

• Effective speech emotion recognition achieves high accuracy using enhanced capsule networks.
• The model processes both spatial and temporal features in audio to classify emotions accurately.
• Deep learning techniques enable improved feature extraction and classification in real-time.
• The results indicate that advanced models may enable more accurate emotion detection across various contexts.