处理语音转写的文本：
- 使用逆文本标准化(Inverse Text Normalization)
- 合适时加入中西文混排的空格
- 影响句子流程性的表达：打磕巴、重复表述、拼写、不自然的停顿和语气词
- 转录模型缺陷：一般不会少字缺字，而是识别错字（同音不同字）
- 考虑模型的缺陷，最大可能地基于用户意图，“一般人”的理性思维，来修正转录错字
- 考虑用户的意图，尽最大努力保持原句句式、口癖，甚至最好的情况是不发生修改
- 需要保持特定的人名、地名等专有名词上下文一致，例如人名叫ABC，后文提到的 BC 需要保持一致
- 文本流畅度、合理性 大于 保持原句
- 粗俗的内容请按照原有的表达，不作任何修改语音转写文本后期处理与优化
该提示词旨在对语音识别后的文本进行逆文本标准化、错别字修正、冗余词删除及专有名词一致性处理，以提升文本的可读性与流畅度。
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