How to use our public wav2vec2 dimensional emotion model
Official implementation of the paper "Estimation of continuous valence and arousal levels from faces in naturalistic conditions", Antoine Toisoul, Jean Kossaifi, Adrian Bulat, Georgios Tzimiropoulos and Maja Pantic, Nature Machine Intelligence, 2021
A Unimodal Valence-Arousal Driven Contrastive Learning Framework for Multimodal Multi-Label Emotion Recognition (ACM MM 2024 oral)
DANTE (Dimensional ANnotation Tool for Emotions) is an emotional annotation tool to annotate any kind of video in terms of valence and arousal continuous dimensions.
This project focuses on detecting multiple emotions from English text using a fine-tuned **BERT** model. It leverages the [GoEmotions](https://huggingface.co/datasets/go_emotions) dataset — a large-scale human-annotated dataset of Reddit comments labeled with 27 emotions + neutral.
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