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| language: | |
| - en | |
| tags: | |
| - text-to-speech | |
| - speech | |
| - emotional-speech | |
| - instruction-following | |
| - emotion-trajectory | |
| - emotion-blending | |
| base_model: FunAudioLLM/Fun-CosyVoice3-0.5B-2512 | |
| # HybridEmo | |
| HybridEmo is an instruction-following multi-emotion text-to-speech model developed by post-training [CosyVoice 3](https://huggingface.co/FunAudioLLM/Fun-CosyVoice3-0.5B-2512). It supports sequential emotion trajectories and simultaneous emotion blending within a single utterance. | |
| ## Resources | |
| - [Paper](https://arxiv.org/abs/2608.30325) | |
| - [GitHub Repository](https://github.com/ictnlp/HybridEmo) | |
| - [Audio Demo](https://zhouyan19.github.io/HybridEmo-demo/) | |
| - [Hugging Face Collection](https://huggingface.co/collections/ICTNLP/hybridemo) | |
| ## Usage | |
| Please refer to the [GitHub repository](https://github.com/ictnlp/HybridEmo) for environment setup and inference instructions. | |
| ## Citation | |
| If you use HybridEmo in your research, please cite our paper: | |
| ```bibtex | |
| @misc{zhou2026sequentialtrajectoriessimultaneousblending, | |
| title={Sequential Trajectories and Simultaneous Blending: Multi-Emotion Modeling for Instruction-Following TTS}, | |
| author={Yan Zhou and Yun Hong and Yang Feng}, | |
| year={2026}, | |
| eprint={2608.30325}, | |
| archivePrefix={arXiv}, | |
| primaryClass={cs.CL}, | |
| url={https://arxiv.org/abs/2608.30325}, | |
| } | |
| ``` | |