CineDub-Example

## 🎬 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/)

You can download the dataset using the following Git Clone command or the ModelScope SDK.

#### 下载方法
:modelscope-code[]{type="sdk"}
:modelscope-code[]{type="git"}

🎬 Fun-CineForge：面向多元影视场景的零样本（Zero-shot）影视配音统一数据集流水线与模型

**Fun-CineForge** 包含一套端到端的大规模配音数据集构建流水线，以及面向多元影视场景的基于多模态大语言模型（MLLM）的配音模型。
依托该流水线，我们构建了首个大规模中文影视配音数据集CineDub-CN，该数据集涵盖丰富标注信息与多样影视场景。
在独白、旁白、对话及多说话人场景下，我们的配音模型在音频质量、唇形同步、音色转换与指令遵循等指标上，持续优于当前主流先进方法。

可访问[https://funcineforge.github.io/](https://funcineforge.github.io/) 获取CineDub数据集样例与演示样例。
GitHub仓库链接：[https://github.com/FunAudioLLM/FunCineForge/](https://github.com/FunAudioLLM/FunCineForge/)
ModelScope模型链接：[https://www.modelscope.cn/models/FunAudioLLM/Fun-CineForge/](https://www.modelscope.cn/models/FunAudioLLM/Fun-CineForge/)

可通过以下Git Clone命令或ModelScope SDK下载该数据集。

#### 下载方式
:modelscope-code[]{type="sdk"}
:modelscope-code[]{type="git"}