Update README.md

README.md

@@ -20,7 +20,7 @@ datasets:
 This repository provides all the necessary tools for using a [scalable HiFiGAN Unit](https://arxiv.org/abs/2406.10735) vocoder trained with [LibriTTS](https://www.openslr.org/141/). 
 
 The pre-trained model take as input discrete self-supervised representations and produces a waveform as output. This is suitable for a wide range of generative tasks such as speech enhancement, separation, text-to-speech, voice cloning, etc. Please read [DASB - Discrete Audio and Speech Benchmark](https://arxiv.org/abs/2406.14294) for more information.  
-To generate the discrete self-supervised representations, we employ a K-means clustering model trained using `microsoft/wavlm-large` hidden layers, with k=1000.
+To generate the discrete self-supervised representations, we employ a K-means clustering model trained using `microsoft/wavlm-large` hidden layers ([1, 3, 7, 12, 18, 23]), with k=1000.
 
 ## Install SpeechBrain