diff --git a/README.md b/README.md index 46345ae..dccf141 100644 --- a/README.md +++ b/README.md @@ -50,7 +50,7 @@ Model Zoo: 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 diff --git a/README_zh.md b/README_zh.md index c87aa32..859b33c 100644 --- a/README_zh.md +++ b/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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