Update README.md

README.md

@@ -16,7 +16,7 @@ The large model pre-trained on 16kHz sampled speech audio. When using the model
 
 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). It is pre-trained on 2600 hours of unlabeled colloquial Finnish speech from [Lahjoita puhetta (Donate Speech)](https://link.springer.com/article/10.1007/s10579-022-09606-3).
 
-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
 
@@ -37,15 +37,14 @@ The model was pre-trained on the data from the [Lahjoita puhetta (Donate Speech)
 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},
 }
 ```