Update README.md

README.md

@@ -45,22 +45,11 @@ Our model is based on the [data2vec audio model](https://huggingface.co/docs/tra
 The paper can be found at [ISMIR](https://ismir2022program.ismir.net/lbd_410.html).
 
 ```shell
-@misc{https://doi.org/10.48550/arxiv.2212.02508,
-  doi = {10.48550/ARXIV.2212.02508},
-  
-  url = {https://arxiv.org/abs/2212.02508},
-  
-  author = {Li, Yizhi and Yuan, Ruibin and Zhang, Ge and Ma, Yinghao and Lin, Chenghua and Chen, Xingran and Ragni, Anton and Yin, Hanzhi and Hu, Zhijie and He, Haoyu and Benetos, Emmanouil and Gyenge, Norbert and Liu, Ruibo and Fu, Jie},
-  
-  keywords = {Sound (cs.SD), Artificial Intelligence (cs.AI), Machine Learning (cs.LG), Multimedia (cs.MM), Audio and Speech Processing (eess.AS), FOS: Computer and information sciences, FOS: Computer and information sciences, FOS: Electrical engineering, electronic engineering, information engineering, FOS: Electrical engineering, electronic engineering, information engineering},
-  
-  title = {MAP-Music2Vec: A Simple and Effective Baseline for Self-Supervised Music Audio Representation Learning},
-  
-  publisher = {arXiv},
-  
-  year = {2022},
-  
-  copyright = {arXiv.org perpetual, non-exclusive license}
+@article{li2022map,
+  title={MAP-Music2Vec: A Simple and Effective Baseline for Self-Supervised Music Audio Representation Learning},
+  author={Li, Yizhi and Yuan, Ruibin and Zhang, Ge and Ma, Yinghao and Lin, Chenghua and Chen, Xingran and Ragni, Anton and Yin, Hanzhi and Hu, Zhijie and He, Haoyu and others},
+  journal={arXiv preprint arXiv:2212.02508},
+  year={2022}
 }
 
 ```