M3Net

Reported on 4 benchmarks across 1 task

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Audio4 results

Emotion RecognitiononCMU-MOSEI-Sentiment
Accuracy
43.67
best: 46.82 (GraphSmile)
Emotion RecognitiononCMU-MOSEI-Sentiment
Weighted F1
41.12
best: 44.93 (GraphSmile)
Emotion RecognitiononIEMOCAP-4
Accuracy
83.67
best: 86.53 (GraphSmile)
Emotion RecognitiononIEMOCAP-4
Weighted F1
83.57
best: 86.52 (GraphSmile)