Add pipeline tag and improve model card

README.md

@@ -1,16 +1,16 @@
 ---
-tags:
-- model_hub_mixin
-- pytorch_model_hub_mixin
-license: cc-by-4.0
 datasets:
 - ASLP-lab/LyricEditBench
 language:
 - zh
 - en
+license: cc-by-4.0
+pipeline_tag: text-to-audio
+tags:
+- model_hub_mixin
+- pytorch_model_hub_mixin
 ---
 
-
 <div align="center">
 
 <h1>🎤 YingMusic-Singer: Controllable Singing Voice Synthesis with Flexible Lyric Manipulation and Annotation-free Melody Guidance</h1>
@@ -52,6 +52,10 @@ language:
 
 -----
 
+**YingMusic-Singer** is a fully diffusion-based model enabling melody-controllable singing voice synthesis with flexible lyric manipulation. The model takes three inputs: an optional timbre reference, a melody-providing singing clip, and modified lyrics, achieving strong melody preservation and lyric adherence without requiring manual alignment.
+
+For more details, please refer to the paper: [YingMusic-Singer: Controllable Singing Voice Synthesis with Flexible Lyric Manipulation and Annotation-free Melody Guidance](https://arxiv.org/abs/2603.24589).
+
 ## 🌟 About This Repository
 
 The root directory contains the packaged model weights saved via `ModelHubMixin` in safetensor format. The `ckpts/` folder holds individual component checkpoints for downstream development and custom integration.
@@ -61,4 +65,20 @@ The root directory contains the packaged model weights saved via `ModelHubMixin`
 Full documentation and deployment guides are available at our GitHub repository:
 👉 [https://github.com/ASLP-lab/YingMusic-Singer](https://github.com/ASLP-lab/YingMusic-Singer)
 
-We support multiple deployment options to fit your workflow.
+We support multiple deployment options to fit your workflow.
+
+## 📜 Citation
+
+If you find our work useful, please cite:
+
+```bibtex
+@misc{hao2025yingmusicsinger,
+      title={YingMusic-Singer: Controllable Singing Voice Synthesis with Flexible Lyric Manipulation and Annotation-free Melody Guidance}, 
+      author={Chunbo Hao and Junjie Zheng and Guobin Ma and Yuepeng Jiang and Huakang Chen and Wenjie Tian and Gongyu Chen and Zihao Chen and Lei Xie},
+      year={2025},
+      eprint={2603.24589},
+      archivePrefix={arXiv},
+      primaryClass={cs.SD},
+      url={https://arxiv.org/abs/2603.24589}, 
+}
+```