speech-17
Multimodal Emotion Recognition
3260 papers • 126 benchmarks • 313 datasets
This is a leaderboard for multimodal emotion recognition on the IEMOCAP dataset. The modality abbreviations are A: Acoustic T: Text V: Visual Please include the modality in the bracket after the model name. All models must use standard five emotion categories and are evaluated in standard leave-one-session-out (LOSO). See the papers for references.
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Benchmarks
These leaderboards are used to track progress in multimodal-emotion-recognition-53
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IEMOCAP
IEMOCAP
Expressive hands and faces dataset (EHF).
Expressive hands and faces dataset (EHF).
Libraries
iUse these libraries to find multimodal-emotion-recognition-53 models and implementations
2 papers 1,030
Datasets
No datasets available.
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