Update README.md

README.md

@@ -31,16 +31,24 @@ This model annotates primary stress in words on 20ms frames.
 - **Language(s) (NLP):** Croatian, Slovenian, Serbian, Chakavian variant of Croatian
 - **License:** Creative Commons - Share Alike 4.0
 
-### Model Sources [optional]
-
 <!-- Provide the basic links for the model. -->
 
-- **Paper [optional]:** Coming soon
+- **Paper:** Please cite the following paper:
+
+  ```
+  @inproceedings{ljubesic2025identifying,
+  title     = {Identifying Primary Stress Across Related Languages and Dialects with Transformer-based Speech Encoder Models},
+  author    = {Ljubešić, Nikola and Porupski, Ivan and Rupnik, Peter},
+  booktitle = {Proceedings of Interspeech 2025},
+  year      = {2025},
+  note      = {Accepted at Interspeech 2025}
+}
+  ```
 
 
 ### Direct Use
 
-The model is intended for data-driven analyses in primary stress position. ATM, it has been proven to work on 4 datasets in 3 languages.
+The model is intended for data-driven analyses in primary stress position. At the moment, it has been proven to work on 4 datasets in 3 languages.
 
 
 ## Example use
@@ -149,14 +157,3 @@ print(ds["primary_stress"][0])
 
 <!-- This section describes the evaluation protocols and provides the results. -->
 
-### Testing Data, Factors & Metrics
-
-
-#### Summary
-
-
-
-
-## Citation 
-
-Coming soon