Update README.md

README.md

@@ -12,9 +12,8 @@ pinned: false
 ESPnet is an end-to-end speech processing toolkit covering end-to-end speech recognition, text-to-speech, speech translation, speech enhancement, speaker diarization, spoken language understanding, and so on.
 ESPnet uses [pytorch](http://pytorch.org/) as a deep learning engine and also follows [Kaldi](http://kaldi-asr.org/) style data processing, feature extraction/format, and recipes to provide a complete setup for various speech processing experiments.
 
-## Citations
+<details><summary>Citations</summary>
 
-```
 @inproceedings{watanabe2018espnet,
   author={Shinji Watanabe and Takaaki Hori and Shigeki Karita and Tomoki Hayashi and Jiro Nishitoba and Yuya Unno and Nelson {Enrique Yalta Soplin} and Jahn Heymann and Matthew Wiesner and Nanxin Chen and Adithya Renduchintala and Tsubasa Ochiai},
   title={{ESPnet}: End-to-End Speech Processing Toolkit},
@@ -63,4 +62,5 @@ ESPnet uses [pytorch](http://pytorch.org/) as a deep learning engine and also fo
   journal={arXiv preprint arXiv:2111.14706},
   year={2021}
 }
-```
+
+</details>