| license: cc-by-nc-4.0 | |
| language: | |
| - zh | |
| - en | |
| tags: | |
| - Dubbing-datasets | |
| ## 🎬 Fun-CineForge: A Unified Dataset Pipeline and Model for Zero-Shot Movie Dubbing in Diverse Cinematic Scenes | |
| **Fun-CineForge** contains an end-to-end dataset pipeline for producing large-scale dubbing datasets and an MLLM-based dubbing model designed for diverse cinematic scenes. | |
| Using this pipeline, we constructed the first large-scale Chinese television dubbing dataset CineDub-CN, which includes rich annotations and diverse scenes. | |
| In monologue, narration, dialogue, and multi-speaker scenes, our dubbing model consistently outperforms state-of-the-art methods in terms of audio quality, lip-sync, timbre transition, and instruction following. | |
| You can access [https://funcineforge.github.io/](https://funcineforge.github.io/) to get our CineDub dataset samples and demo samples. | |
| GitHub link: [https://github.com/FunAudioLLM/FunCineForge/](https://github.com/FunAudioLLM/FunCineForge/) | |
| Modelscope link: [https://www.modelscope.cn/models/FunAudioLLM/Fun-CineForge/](https://www.modelscope.cn/models/FunAudioLLM/Fun-CineForge/) |