Update README.md

README.md

@@ -19,16 +19,17 @@ If you use BanglaBeats in your research, please cite the following paper:
 - Kaggle: [BanglaBeats on Kaggle](https://www.kaggle.com/datasets/thisisjibon/banglabeats3sec/data)
 - Hugging Face: [BanglaBeats on Hugging Face](https://huggingface.co/datasets/thisisjibon/banglabeats)
 
-BibTeX:
+## BibTeX:
 ```bibtex
-@inproceedings{HasanJibon2023,
-  title = {BanglaBeats: A Comprehensive Dataset of Bengali Songs for Music Genre Classification Tasks},
-  url = {http://dx.doi.org/10.1109/ICCIT60459.2023.10441288},
-  DOI = {10.1109/iccit60459.2023.10441288},
-  booktitle = {2023 26th International Conference on Computer and Information Technology (ICCIT)},
-  publisher = {IEEE},
-  author = {Hasan Jibon,  Md. Mehedi and Mahinur Alam,  Dewan and Rahman,  Mohammad Shahidur},
-  year = {2023},
-  month = dec 
+@INPROCEEDINGS{10441288,
+  author={Hasan Jibon, Md. Mehedi and Mahinur Alam, Dewan and Rahman, Mohammad Shahidur},
+  booktitle={2023 26th International Conference on Computer and Information Technology (ICCIT)},
+  title={BanglaBeats: A Comprehensive Dataset of Bengali Songs for Music Genre Classification Tasks},
+  year={2023},
+  volume={},
+  number={},
+  pages={1-6},
+  keywords={Computational modeling;Music;Transformers;User experience;Convolutional neural networks;Task analysis;Optimization;Music Genre Classification;Bengali Music Dataset;Convolutional Neural Network;Transformers;Wav2Vec2-Base-960h;DistilHubert;Audio Classification;Machine Learning;Deep Learning},
+  doi={10.1109/ICCIT60459.2023.10441288}
 }