From 3acd997762e3840f3cd4953648b19a37aa4c983e Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?=E5=8C=97=E5=BF=B5?= <lzr265946@alibaba-inc.com>
Date: Fri, 28 Jun 2024 11:07:33 +0800
Subject: [PATCH] update

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

diff --git a/README.md b/README.md
index 3f266d1..e6c3d0b 100644
--- a/README.md
+++ b/README.md
@@ -163,7 +163,7 @@ Undo
 我们在开源基准数据集（包括 AISHELL-1、AISHELL-2、Wenetspeech、Librispeech和Common Voice）上比较了SenseVoice与Whisper的多语言语音识别性能和推理效率。在中文和粤语识别效果上，SenseVoice-Small模型具有明显的效果优势。
 
 <p align="center">
-<img src="fig/asr_results.png" alt="SenseVoice模型在开源测试集上的表现"  width="1500" />
+<img src="fig/asr_results.png" alt="SenseVoice模型在开源测试集上的表现"  width="2500" />
 </p>