Add audio-to-audio pipeline tag and fix markdown links

README.md

@@ -1,3 +1,7 @@
+---
+pipeline_tag: audio-to-audio
+---
+
 # UniSE: A Unified Framework for Decoder-only Autoregressive LM-based Speech Enhancement
 
 <p align="center">
@@ -26,7 +30,7 @@
 - 🔄 **End-to-End Compatible**: Integrates WavLM (feature extractor), BiCodec (discrete codec), and LM into one pipeline.
 - 🌍 **Multitask Support**: SE, SR, TSE, SS, and more — all in a single model.
 
-📄 **Paper**: [arXiv:2510.20441](https://arxiv.org/abs/2510.20441)  | 🤗 **Model**: [Hugging Face Spaces]https://huggingface.co/QuarkAudio/QuarkAudio-UniSE/)
+📄 **Paper**: [arXiv:2510.20441](https://arxiv.org/abs/2510.20441)  | 🤗 **Model**: [Hugging Face](https://huggingface.co/QuarkAudio/QuarkAudio-UniSE/)
 
 ---
 
@@ -72,7 +76,7 @@ Additionally, download WavLM-Large.pt from this [URL](https://huggingface.co/mic
 
 Alternatively, you can download them manually and place them in the `./model/bicodec/` directory.
 
-After Downloading, the tree should be like this:
+---
 
 ## Train
 + Quick start
@@ -90,6 +94,7 @@ python ./train.py --config conf/config.yaml
  | `rir_scp_path`        | SCP of rir audio files                                                                       |
 | `mode`           | Task type: `se` (Noise Suppression,Speech Restoration,Packet Loss Concealment), `tse` (Target Speaker Extraction), `SS` (Speech Separation). |
 
+---
 
 ## Inference
 + Quick start
@@ -116,6 +121,7 @@ Command to run inference:
 python test.py
 ```
 
+---
 
 ## Model Checkpoints
 
@@ -139,7 +145,5 @@ Our approach focuses on leveraging the LLM's comprehension capabilities to enabl
 }
 ```
 
-
 ## Contact
-For any questions, please contact: `yanhaoyin.yhy@alibaba-inc.com`
- 
+For any questions, please contact: `yanhaoyin.yhy@alibaba-inc.com`