Update README.md

README.md

@@ -10,6 +10,9 @@ language:
 - it
 - ru
 - de
+tags:
+- TTS
+- Dubbing
 ---
 
 <p align="center">
@@ -27,4 +30,4 @@ in Diverse Cinematic Scenes</b>
 
 [Demos](https://funcineforge.github.io/); [Paper](https://arxiv.org/pdf/2601.14777); [Modelscope](https://www.modelscope.cn/models/FunAudioLLM/Fun-CineForge); [HuggingFace](https://huggingface.co/FunAudioLLM/Fun-CineForge)
 
-**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.
+**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.