Update about.md

about.md

@@ -22,12 +22,15 @@ Here you'll be able to find all the information regarding our models 🍵 Matxa
 
 The significance of open-source text-to-speech (TTS) technologies for minority languages cannot be overstated. These technologies democratize access to TTS solutions by providing a framework for communities to develop and adapt models according to their linguistic needs. This is why we have developed different open-source TTS solutions in Catalan, using an ensemble of technologies.
 
-Firstly, we created a [TTS model for central Catalan](https://huggingface.co/BSC-LT/matcha-tts-cat-multispeaker) by fine-tuning the Matcha-TTS English model. Matcha-TTS is a state-of-the-art model that employs deep learning, a form of AI, to train models that replicate human speech patterns, allowing it to generate lifelike synthetic voices from written text. After that, we fine-tuned this Catalan central model for four Catalan dialects, central plus three more:
+Here we present 🍵 Matxa, the first multispeaker, multidialectal neural TTS model. It comes together with the vocoder model 🥑 alVoCat, to generate high quality and expressive speech efficiently in four dialects:
 
 * Balear
+* Central
 * North-Occidental
 * Valencian
 
+Both models are trained with open data; 🍵 Matxa models are free (as in freedom) to use for non-comercial purposes, but for commercial purposes it needs licensing from the voice artist. For details please consult the [License](#additional-information) section and the [model page](https://huggingface.co/BSC-LT/matcha-tts-cat-multiaccent/).
+
 
 ## Intended Uses and Limitations
 
@@ -228,13 +231,13 @@ The original Matcha-TTS model excels in English, but to bring its capabilities t
  * [Our version of the Festcat dataset.](https://huggingface.co/datasets/projecte-aina/festcat_trimmed_denoised)
 
 Then we further fine-tuned the single accent Catalan Matxa-based model with the soon to be published LaFrescat dataset that has 8.5 hours of recordings for four dialectal variants:
- 
- * Central
- 
+  
  * Valencian
  
  * Occidental
- 
+
+ * Central
+
  * Balear 
  
 With a male and a female speaker for each dialect.