Update README.md

README.md

@@ -38,7 +38,7 @@ model-index:
 
 The Finnish Wav2Vec2 Large has the same architecture and uses the same training objective as the English and multilingual one described in [Paper](https://arxiv.org/abs/2006.11477).
 
-You can read more about the pre-trained model from [this paper](TODO). The training scripts are available on [GitHub](https://github.com/aalto-speech/colloquial-Finnish-wav2vec2)
+You can read more about the pre-trained model from [this paper](https://www.isca-archive.org/interspeech_2024/getman24_interspeech.html). The training scripts are available on [GitHub](https://github.com/aalto-speech/colloquial-Finnish-wav2vec2)
 
 ## Intended uses & limitations
 
@@ -103,15 +103,14 @@ Evaluation results in terms of WER (word error rate) and CER (character error ra
 If you use our models or scripts, please cite our article as:
 
 ```bibtex
-@inproceedings{getman24a_interspeech,
-  author={Yaroslav Getman and Tamas Grosz and Mikko Kurimo},
-  title={{What happens in continued pre-training? Analysis of self-supervised speech
-models with continued pre-training for colloquial Finnish ASR}},
-  year=2024,
-  booktitle={Proc. INTERSPEECH 2024},
-  pages={XX--XX},
-  doi={XXXX},
-  issn={XXXX-XXXX}
+@inproceedings{getman24_interspeech,
+  title     = {What happens in continued pre-training? Analysis of self-supervised speech
+ models with continued pre-training for colloquial Finnish ASR},
+  author    = {Yaroslav Getman and Tamas Grosz and Mikko Kurimo},
+  year      = {2024},
+  booktitle = {Interspeech 2024},
+  pages     = {5043--5047},
+  doi       = {10.21437/Interspeech.2024-476},
 }
 ```