Update app.py

app.py

@@ -121,16 +121,14 @@ OWSM v3 is trained on 180k hours of paired speech data. It supports various spee
 - Long-form transcription
 - Language identification
 
-For more details about OWSM, please check out our paper [here](https://arxiv.org/abs/2309.13876) (ASRU 2023).
+For more details about OWSM, please check out our paper [here](https://arxiv.org/abs/2309.13876) (Peng et al., ASRU 2023).
 
 ```
-@misc{peng2023reproducing,
-      title={Reproducing Whisper-Style Training Using an Open-Source Toolkit and Publicly Available Data}, 
-      author={Yifan Peng and Jinchuan Tian and Brian Yan and Dan Berrebbi and Xuankai Chang and Xinjian Li and Jiatong Shi and Siddhant Arora and William Chen and Roshan Sharma and Wangyou Zhang and Yui Sudo and Muhammad Shakeel and Jee-weon Jung and Soumi Maiti and Shinji Watanabe},
-      year={2023},
-      eprint={2309.13876},
-      archivePrefix={arXiv},
-      primaryClass={cs.CL}
+@article{peng2023owsm,
+  title={Reproducing Whisper-Style Training Using an Open-Source Toolkit and Publicly Available Data},
+  author={Yifan Peng and Jinchuan Tian and Brian Yan and Dan Berrebbi and Xuankai Chang and Xinjian Li and Jiatong Shi and Siddhant Arora and William Chen and Roshan Sharma and Wangyou Zhang and Yui Sudo and Muhammad Shakeel and Jee-weon Jung and Soumi Maiti and Shinji Watanabe},
+  journal={arXiv preprint arXiv:2309.13876},
+  year={2023}
 }
 ```