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language: en |
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license: creativeml-openrail-m |
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tags: |
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- emotion-recognition, perceiver |
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datasets: |
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- RAVDESS |
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--- |
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# Perceiver-based Emotion Recognition |
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This model is a Perceiver-based (https://huggingface.co/docs/transformers/model_doc/perceiver) emotion recognition model trained on RAVDESS dataset (https://zenodo.org/record/1188976#.Y5iqPy2B1QI). |
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The model is trained using 3 modalities: video, audio, and text. |
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For details on the data collection, check here: https://zenodo.org/record/1188976 |
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The feature extraction for each modality and training procedure follows the steps mentioned here: https://dl.acm.org/doi/10.1145/3551876.3554806 |
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## Intended uses |
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You can use the raw model for directly recognize emotion (classes: 01 = neutral, 02 = calm, 03 = happy, 04 = sad, 05 = angry, 06 = fearful, 07 = disgust, 08 = surprised) or fine-tune on a downstream task. |
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## Limitations |
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The model is trained on only one dataset and uses 8 specific classes of emotions. The limitation lies in the lack of diversity in the demographics and emotions. |
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