Update README.md

add huggingface vc blog and demo.

README.md

@@ -9,7 +9,7 @@ tags:
 - SpeechT5
 - Voice Conversion
 datasets:
-- CMU ARCTIC
+- CMUARCTIC
 - bdl
 - clb
 - rms
@@ -22,6 +22,10 @@ datasets:
 
 This manifest is an attempt to recreate the Voice Conversion recipe used for training [SpeechT5](https://aclanthology.org/2022.acl-long.393). This manifest was constructed using [CMU ARCTIC](http://www.festvox.org/cmu_arctic/) four speakers, e.g., bdl, clb, rms, slt. There are 932 utterances for training, 100 utterances for validation, and 100 utterance for evaluation.
 
+### News
+
+- 8 February 2023: SpeechT5 is integrated as an official model into the Hugging Face Transformers library [[Blog](https://huggingface.co/blog/speecht5)] and [[Demo](https://huggingface.co/spaces/Matthijs/speecht5-vc-demo)].
+
 ### Requirements
 
 - [SpeechBrain](https://github.com/speechbrain/speechbrain) for extracting speaker embedding
@@ -50,4 +54,4 @@ If you find our work is useful in your research, please cite the following paper
     year = {2022},
     pages={5723--5738},
 }
-```
+```