Update README.md

README.md

@@ -47,7 +47,7 @@ pip install git+https://github.com/huggingface/parler-tts.git
 
 
 **Parler-TTS** has been trained to generate speech with features that can be controlled with a simple text prompt, for example:
-`A female speaker with a slightly low-pitched voice delivers her words quite expressively, in a very confined sounding environment with clear audio quality. She speaks very fast.`
+`A female speaker delivers a slightly expressive and animated speech with a moderate speed and pitch. The recording is of very high quality, with the speaker's voice sounding clear and very close up.`
 
 ```py
 import torch
@@ -61,7 +61,7 @@ model = ParlerTTSForConditionalGeneration.from_pretrained("parler-tts/parler-tts
 tokenizer = AutoTokenizer.from_pretrained("parler-tts/parler-tts-mini-v1")
 
 prompt = "Hey, how are you doing today?"
-description = "A female speaker with a slightly low-pitched voice delivers her words quite expressively, in a very confined sounding environment with clear audio quality. She speaks very fast."
+description = "A female speaker delivers a slightly expressive and animated speech with a moderate speed and pitch. The recording is of very high quality, with the speaker's voice sounding clear and very close up."
 
 input_ids = tokenizer(description, return_tensors="pt").input_ids.to(device)
 prompt_input_ids = tokenizer(prompt, return_tensors="pt").input_ids.to(device)