Emotion2vec is a self-supervised pre-training framework for speech emotion representation learning, published at ACL 2024. The repository provides PyTorch implementations for extracting features from pre-trained models and training downstream classifiers. It includes the emotion2vec+ foundation models available on ModelScope and Hugging Face, supporting 9-class emotion recognition tasks through iterative fine-tuning.