Unweighted Accuracy (UA): 32.1Weighted Accuracy (WA): 32.2
Papers with Code · CC BY-SA 4.0
Speech Emotion Recognition
Speech Emotion Recognition is a task of speech processing and computational paralinguistics that aims to recognize and categorize the emotions expressed in spoken language. The goal is to determine the emotional state of a speaker, such as happiness, anger, sadness, or frustration, from their speech patterns, such as prosody, pitch, and rhythm.
For multimodal emotion recognition, please upload your result to Multimodal Emotion Recognition on IEMOCAP
논문
Weighted Accuracy (WA): 79.4Unweighted Accuracy (UA): 79.8Weighted F1: 79.4
Accuracy: 90.2F1: 0.891
CCC: 0.377
CCC: 0.638
CCC: 0.6466753
CCC: 0.676
WA: 0.796WA CV: 0.730
CCC (Valence): 0.648CCC (Arousal): 0.764
1:1 Accuracy: 96.09
UA: 0.650
UA CV: 0.7655WA CV: 0.7803
Unweighted Accuracy: 65.20
F1: -WA: 0.805UA: 0.740
UA: 0.696
UA: 0.89WA: 0.53Macro F1: 0.54
Unweighted Accuracy (UA): 0.429
Accuracy: 82.99%F1 Score: 0.82Precision: 0.82Recall: 0.82
WA: 0.810WA CV: 0.742
F1: -WA: 0.755UA: -
F1: -UA CV: 0.7815