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README.md

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+language: en
 license: creativeml-openrail-m
+tags:
+- emotion-recognition, perceiver
+datasets:
+- RAVDESS
 ---
+
+# Perceiver-based Emotion Recognition
+
+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).
+The model is trained using 3 modalities: video, audio, and text. 
+
+For details on the data collection, check here: https://zenodo.org/record/1188976
+
+The feature extraction for each modality and training procedure follows the steps mentioned here: https://dl.acm.org/doi/10.1145/3551876.3554806
+
+## Intended uses 
+
+You can use the raw model for directly reconize 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. 
+
+## Limitations
+
+The model is traine don only one dataset and uses 8 specific classes of emotions. The limitations lies in the lack of diversity in the demographics and emotions.