Update README.md

README.md

@@ -4,9 +4,10 @@ datasets:
 language:
 - ar
 ---
- # Arabic syllables recognition with tashkeel.[The paper regarding this approch and findings can be found in the files]
+ # Arabic syllables recognition with tashkeel
+ **paper DOI** : https://doi.org/10.60161/2521-001-001-006
 This is fine tuned wav2vec2 model to recognize arabic syllables from speech.        
-The model was trained on Modern standard arabic dataset can be found here .\
+The model was trained on Modern standard arabic dataset .\
 5-gram language model is available with the model.
 
 To try it out :
@@ -56,4 +57,17 @@ print("Prediction:",transcription[0])
 ```
 
 
-You can then convert the syllables to full word using our fine tuned mT5 model[IbrahimSalah/Arabic_Syllables_to_text_Converter_Using_MT5]
+# You can then convert the syllables to full word using our fine tuned mT5 model[IbrahimSalah/Arabic_Syllables_to_text_Converter_Using_MT5]
+
+## Citation
+
+**BibTeX:**
+
+```bibtex
+@article{2024SyllableBasedAS,
+  title={Syllable-Based Arabic Speech Recognition Using Wav2Vec},
+  author={إبراهيم عبدالعال and مصطفى الشافعي and محمد عبدالواحد},
+  journal={مجلة اللغات الحاسوبية والمعالجة الآلية للغة العربية},
+  year={2024},
+  url={https://api.semanticscholar.org/CorpusID:269151543}
+}