Update README.md

README.md

@@ -34,24 +34,24 @@ Here are the available speech data: [CHiME-4](https://entuedu-my.sharepoint.com/
 
 
 **IMPORTANT:** The vast speech feature size mentioned above is because Whisper requires a fix input length of 30s that is too long. Please do the follwing step to remove it before running ***add_speech_feats_to_train_data.py***:
-- Modified the [whisper model code](https://github.com/openai/whisper/blob/main/whisper/model.py#L167) "x = (x + self.positional_embedding).to(x.dtype)" to be "x = (x + self.positional_embedding[:x.shape[1], :]).to(x.dtype)" 
+- Modified the [whisper model code](https://github.com/openai/whisper/blob/main/whisper/model.py#L167) `x = (x + self.positional_embedding).to(x.dtype)` to be `x = (x + self.positional_embedding[:x.shape[1], :]).to(x.dtype)` 
 
 
 **UPDATE (Apr-29-2024):** To support customization, We release the script ***generate_robust_hp.py*** for users to generate train/test data from their own ASR datasets.
 We also release two necessary packages for generation: "my_jiwer" and "decoding.py".
 To summary, you will need to do the following three steps before running ***generate_robust_hp.py***:
-- Modified the [whisper model code](https://github.com/openai/whisper/blob/main/whisper/model.py#L167) "x = (x + self.positional_embedding).to(x.dtype)" to be "x = (x + self.positional_embedding[:x.shape[1], :]).to(x.dtype)" 
-- Specify the absolute path of "my_jiwer" directory in ***generate_robust_hp.py*** (sys.path.append)
-- Put our whisper decoding script "decoding.py" under your locally installed whisper directory "<your-path>/whisper/whisper"
+- Modified the [whisper model code](https://github.com/openai/whisper/blob/main/whisper/model.py#L167) `x = (x + self.positional_embedding).to(x.dtype)` to be `x = (x + self.positional_embedding[:x.shape[1], :]).to(x.dtype)` 
+- Specify the absolute path of "my_jiwer" directory in ***generate_robust_hp.py*** (`sys.path.append()`)
+- Put our whisper decoding script "decoding.py" under your locally installed whisper directory "\<your-path\>/whisper/whisper"
 
 
 If you consider this work would be related or useful for your research, please kindly consider to cite the work in ICLR 2024. Thank you.
 
-"""bib
+```bib
 @inproceedings{hu2024large,
   title={Large Language Models are Efficient Learners of Noise-Robust Speech Recognition},
   author={Hu, Yuchen and Chen, Chen and Yang, Chao-Han Huck and Li, Ruizhe and Zhang, Chao and Chen, Pin-Yu and Chng, Eng Siong},
   booktitle={International Conference on Learning Representations},
   year={2024}
 }
-"""
+```