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@@ -14,10 +14,11 @@ emotion2vec is the first universal speech emotion representation model. Through
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  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.
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  # News
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- - [May. 2024] πŸ”₯ Speech emotion recognition foundation model: **emotion2vec+**, with 4-class primary 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 over the Jan. 2024 release).
 
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  - [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).
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- - [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).
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- - [Dec. 2023] We release the [paper](https://arxiv.org/abs/2312.15185) for emotion2vec.
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  - [Nov. 2023] We release code, checkpoints, and extracted features for emotion2vec.
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  # Model Card
 
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  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.
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  # News
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+ - [Jun. 2024] πŸ”§ We fix a bug in emotion2vec+. Please re-pull the latest code.
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+ - [May. 2024] πŸ”₯ 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)**.
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  - [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).
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+ - [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).
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+ - [Dec. 2023] We release the [paper](https://arxiv.org/abs/2312.15185), and create a [WeChat group](./src/Wechat.jpg) for emotion2vec.
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  - [Nov. 2023] We release code, checkpoints, and extracted features for emotion2vec.
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  # Model Card