# IEMOCAP Dataset

This is a speech emotion recognition model based on the facebook/wav2vec2-base model fine-tuned on the IEMOCAP dataset, achieving 73.9% accuracy on the evaluation set.

This is a speech emotion recognition model based on the Wav2Vec2 architecture, adapted from the S3PRL project, designed to identify emotional categories in speech.

This is an emotion recognition model based on the Wav2Vec2-Large model, specifically designed to identify emotion categories from speech.

Speech emotion recognition using fine-tuned wav2vec2 model, trained on IEMOCAP dataset

This model is an emotion recognition model based on the Hubert-Base architecture, trained on the SUPERB emotion recognition task for speech emotion classification

An emotion recognition model based on Hubert-Large pre-trained model for predicting emotion categories in speech