From 96c7f70628526bdc8f2a64653e066974206593b7 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Dr=2E=20Artificial=E6=9B=BE=E5=B0=8F=E5=81=A5?=
 <875100501@qq.com>
Date: Tue, 6 Aug 2024 10:25:35 +0800
Subject: [PATCH] typo: EN README (#666)

---
 README.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/README.md b/README.md
index e31408cc0..731f34f7b 100644
--- a/README.md
+++ b/README.md
@@ -284,7 +284,7 @@ This is a problem that typically occurs with autoregressive models (for bark and
 In the current released model, the only token-level control units are `[laugh]`, `[uv_break]`, and `[lbreak]`. In future versions, we may open-source models with additional emotional control capabilities.
 
 ## Acknowledgements
-- [bark](https://github.com/suno-ai/bark), [XTTSv2](https://github.com/coqui-ai/TTS) and [valle](https://arxiv.org/abs/2301.02111) demostrate a remarkable TTS result by an autoregressive-style system.
+- [bark](https://github.com/suno-ai/bark), [XTTSv2](https://github.com/coqui-ai/TTS) and [valle](https://arxiv.org/abs/2301.02111) demonstrate a remarkable TTS result by an autoregressive-style system.
 - [fish-speech](https://github.com/fishaudio/fish-speech) reveals capability of GVQ as audio tokenizer for LLM modeling.
 - [vocos](https://github.com/gemelo-ai/vocos) which is used as a pretrained vocoder.