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Detecting potential medically-significant errors in speech recognition results

机译:在语音识别结果中检测潜在的医学上重要的错误

摘要

In some embodiments, the recognition results produced by a speech processing system (which may include two or more recognition results, including a top recognition result and one or more alternative recognition results) based on an analysis of a speech input, are evaluated for indications of potential significant errors. In some embodiments, the recognition results may be evaluated to determine whether a meaning of any of the alternative recognition results differs from a meaning of the top recognition result in a manner that is significant for a domain, such as the medical domain. In some embodiments, words and/or phrases that may be confused by an ASR system may be determined and associated in sets of words and/or phrases. Words and/or phrases that may be determined include those that change a meaning of a phrase or sentence when included in the phrase/sentence.
机译:在一些实施例中,针对语音输入的分析评估由语音处理系统产生的识别结果(其可以包括两个或更多个识别结果,包括最高识别结果和一个或更多个替代识别结果),该识别结果用于指示语音输入。潜在的重大错误。在一些实施例中,可以以对于领域(例如医学领域)重要的方式,对识别结果进行评估,以确定任何备选识别结果的含义是否与顶部识别结果的含义不同。在一些实施例中,可以确定可能被ASR系统混淆的单词和/或短语并将其关联在单词和/或短语的集合中。可以确定的单词和/或短语包括当被包括在短语/句子中时改变短语或句子的含义的单词和/或短语。

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