Update README.md

README.md

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 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. Typically, this model is utilized on top of a speech-to-unit translation model that converts an input utterance from a source language into a sequence of discrete speech units in a target language.  
-To generate the discrete self-supervised representations, we employ a K-means clustering model trained on HuBERT hidden layers, with `k=1000`.
+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 `facebook/hubert-large-ll60k` hidden layers, with k=1000.
 
 ## Install SpeechBrain