Update README.md

README.md

@@ -124,7 +124,7 @@ license: cc-by-4.0
 [Paper](https://arxiv.org/abs/2309.15317)
 
 This model was trained by [William Chen](https://wanchichen.github.io/) using ESPNet2's SSL recipe in [espnet](https://github.com/espnet/espnet/).
-WavLabLM is an self-supervised audio encoder pre-trained on 40,000 hours of multilingual data across 136 languages. This specific variant, WavLabLM-MK, uses a K-means model trained on English data for the quantization, making it especially strong for European languages.
+WavLabLM is an self-supervised audio encoder pre-trained on 40,000 hours of multilingual data across 136 languages. This specific variant, WavLabLM-EK, uses a K-means model trained on English data for the quantization, making it especially strong for European languages.
 
 
 ```BibTex