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README.md

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-Rimecaster was developed by [Rime Labs](https://rime.ai/), trained with TTS tasks in mind and useful for speaker conditioning.  
-This model extracts speaker embeddings from given speech, which can be the backbone for various TTS models.
+Rimecaster was developed by [Rime Labs](https://rime.ai/), trained with TTS tasks in mind and useful for speaker conditioning. This model extracts speaker embeddings from given speech, which can be the backbone for various TTS models.
 This model is adapted from Titanet-Large with a higher embedding dimension of 768 (up from 192).
 
 Read more in the [launch announcement blog post](https://www.rime.ai/blog/introducing-rimecaster/).