Meta甩出语音转写“神器”：准确识别中英文夹杂，支持超20人长聊1小时

智东西09-02

语音转写正变成AI系统的实时感知层。

编译 | ZeR0

编辑 | 漠影

智东西9月2日报道，今日，Meta推出由Meta超级智能实验室开发的首个实时音频感知模型Muse Voice Transcribe。

该模型提供实时流式自动语音识别（ASR）、支持超过20位说话人的语音分割以及端点控制功能，支持多语言，能处理超过1小时的长音频，可实现无缝语码切换，并通过语言、关键词和上下文偏好来提高识别准确率。

从示例来看，无论是讲中文、中式英语口音，还是中英文混合表达，这款模型的转写速度和效果都相当不错。

免责声明：本文观点仅代表作者个人观点，不构成本平台的投资建议，本平台不对文章信息准确性、完整性和及时性做出任何保证，亦不对因使用或信赖文章信息引发的任何损失承担责任。

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