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title: README
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# Guides
### emotion2vec: universal speech emotion representation model
emotion2vec is the first universal speech emotion representation model. Through self-supervised pre-training, emotion2vec has the ability to extract emotion representation across different tasks, languages, and scenarios.

### emotion2vec+: speech emotion recognition foundation model
emotion2vec+ is a series of foundational models for speech emotion recognition (SER). We aim to train a "whisper" in the field of speech emotion recognition, overcoming the effects of language and recording environments through data-driven methods to achieve universal, robust emotion recognition capabilities. The performance of emotion2vec+ significantly exceeds other highly downloaded open-source models on Hugging Face.

# News
- [Jun. 2024] 🔧 We fix a bug in emotion2vec+. Please re-pull the latest code. 
- [May. 2024] 🔥 Speech emotion recognition foundation model: **emotion2vec+**, with 9-class emotions has been released on [Model Scope](https://modelscope.cn/models/iic/emotion2vec_plus_large/summary) and [Hugging Face](https://huggingface.co/emotion2vec). Check out a series of emotion2vec+ (seed, base, large) models for SER with high performance **(We recommend this release instead of the Jan. 2024 release)**. 
- [Jan. 2024] 9-class emotion recognition model with iterative fine-tuning from emotion2vec has been released in [modelscope](https://www.modelscope.cn/models/iic/emotion2vec_base_finetuned/summary) and [FunASR](https://github.com/alibaba-damo-academy/FunASR/tree/main/examples/industrial_data_pretraining/emotion2vec). 
- [Jan. 2024] **emotion2vec** has been integrated into [modelscope](https://www.modelscope.cn/models/iic/emotion2vec_base/summary) and [FunASR](https://github.com/alibaba-damo-academy/FunASR/tree/main/examples/industrial_data_pretraining/emotion2vec).  
- [Dec. 2023] We release the [paper](https://arxiv.org/abs/2312.15185), and create a [WeChat group](./src/Wechat.jpg) for emotion2vec. 
- [Nov. 2023] We release code, checkpoints, and extracted features for emotion2vec. 

# Model Card

|Model|⭐Model Scope|🤗Hugging Face|Fine-tuning Data (Hours)|
|:---:|:-------------:|:-----------:|:-------------:|
|emotion2vec|[Link](https://www.modelscope.cn/models/iic/emotion2vec_base/summary)|[Link](https://huggingface.co/emotion2vec/emotion2vec_base)|/|
emotion2vec+ seed|[Link](https://modelscope.cn/models/iic/emotion2vec_plus_seed/summary)|[Link](https://huggingface.co/emotion2vec/emotion2vec_plus_seed)|201|
emotion2vec+ base|[Link](https://modelscope.cn/models/iic/emotion2vec_plus_base/summary)|[Link](https://huggingface.co/emotion2vec/emotion2vec_plus_base)|4788|
emotion2vec+ large|[Link](https://modelscope.cn/models/iic/emotion2vec_plus_large/summary)|[Link](https://huggingface.co/emotion2vec/emotion2vec_plus_large)|42526|

Original repository: [https://github.com/ddlBoJack/emotion2vec](https://github.com/ddlBoJack/emotion2vec)

Model Scope repository: [https://www.modelscope.cn/models/iic/emotion2vec_plus_large/summary](https://www.modelscope.cn/models/iic/emotion2vec_plus_large/summary)

Hugging Face repository: [https://huggingface.co/emotion2vec](https://huggingface.co/emotion2vec)

FunASR repository: [https://github.com/alibaba-damo-academy/FunASR](https://github.com/alibaba-damo-academy/FunASR/tree/funasr1.0/examples/industrial_data_pretraining/emotion2vec)