update docs

README.md

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 We compared the performance of multilingual speech recognition between SenseVoice and Whisper on open-source benchmark datasets, including AISHELL-1, AISHELL-2, Wenetspeech, LibriSpeech, and Common Voice. n terms of Chinese and Cantonese recognition, the SenseVoice-Small model has advantages.
 
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 ## Speech Emotion Recognition

README_zh.md

@@ -50,7 +50,7 @@ SenseVoice是具有音频理解能力的音频基础模型，包括语音识别
 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。
 
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-<img src="image/asr_results.png" width="1000" />
+<img src="image/asr_results1.png" width="500" /><img src="image/asr_results2.png" width="500" />
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 ## 情感识别