Update README.md

README.md

@@ -44,7 +44,9 @@ predictively synthesise paralanguage from text without such components, we provi
 different levels of information removal (removal of non-speech events, removal of non-sentence elements, 
 and removal of false starts).
 
-Benchmark TTS models for each transcript can be found here.
+Read the paper [here](https://arxiv.org/abs/2406.08820).
+
+Benchmark TTS models for each transcript can be found here: [Transcript A](https://huggingface.co/amaai-lab/DisfluencySpeech_BenchmarkA), [Transcript B](https://huggingface.co/amaai-lab/DisfluencySpeech_BenchmarkB), and [Transcript C](https://huggingface.co/amaai-lab/DisfluencySpeech_BenchmarkC).
 
 # Dataset Details
 
@@ -60,4 +62,16 @@ The training set contains 90% of the data, the validation set contains 5% of the
 
 # Citation
 
-If you use this dataset, please cite the paper in which it is presented: _Kyra Wang, Dorien Herremans, 2024, DisfluencySpeech - Single-Speaker Conversational Speech Dataset with Paralanguage._
+If you use this dataset, please cite the paper in which it is presented:
+
+```
+@misc{wang2024disfluencyspeechsinglespeakerconversational,
+      title={DisfluencySpeech -- Single-Speaker Conversational Speech Dataset with Paralanguage}, 
+      author={Kyra Wang and Dorien Herremans},
+      year={2024},
+      eprint={2406.08820},
+      archivePrefix={arXiv},
+      primaryClass={eess.AS},
+      url={https://arxiv.org/abs/2406.08820}, 
+}
+```