Update README.md

README.md

@@ -3,9 +3,8 @@ language: en
 license: bsd-3-clause
 library_name: pytorch-lightning
 tags:
-- pytorch
 - pytorch-lightning
-- audio-upsampling
+- audio-to-audio
 datasets: vctk
 model_name: nu-wave-x2
 ---
@@ -32,9 +31,7 @@ This model takes in audio at 24kHz and upsamples it to 48kHz.
 
 #### How to use
 
-```python
-# You can include sample code which will be formatted
-```
+You can try out this model here: [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/gist/nateraw/bd78af284ef78a960e18a75cb13deab1/nu-wave-x2.ipynb)
 
 #### Limitations and bias
 
@@ -51,12 +48,17 @@ Preprocessing, hardware used, hyperparameters...
 
 ## Eval results
 
-Provide some evaluation results.
+You can check out the authors' results at [their project page](https://mindslab-ai.github.io/nuwave/). The project page contains many samples of upsampled audio from the authors' models. 
 
 ### BibTeX entry and citation info
 
 ```bibtex
-@inproceedings{...,
-  year={2020}
+@inproceedings{lee21nuwave,
+  author={Junhyeok Lee and Seungu Han},
+  title={{NU-Wave: A Diffusion Probabilistic Model for Neural Audio Upsampling}},
+  year=2021,
+  booktitle={Proc. Interspeech 2021},
+  pages={1634--1638},
+  doi={10.21437/Interspeech.2021-36}
 }
 ```