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    • 86. 发明申请
    • DETECTING POTENTIAL SIGNIFICANT ERRORS IN SPEECH RECOGNITION RESULTS
    • 检测语音识别结果中的潜在重要错误
    • US20140012582A1
    • 2014-01-09
    • US13544445
    • 2012-07-09
    • William F. Ganong, IIIRaghu VemulaRobert Fleming
    • William F. Ganong, IIIRaghu VemulaRobert Fleming
    • G10L15/18
    • G10L15/18G10L15/01G10L15/183G10L15/26
    • In some embodiments, a recognition result produced by a speech processing system based on an analysis of a speech input is evaluated for indications of potential errors. In some embodiments, sets of words/phrases that may be acoustically similar or otherwise confusable, the misrecognition of which can be significant in the domain, may be used together with a language model to evaluate a recognition result to determine whether the recognition result includes such an indication. In some embodiments, a word/phrase of a set that appears in the result is iteratively replaced with each of the other words/phrases of the set. The result of the replacement may be evaluated using a language model to determine a likelihood of the newly-created string of words appearing in a language and/or domain. The likelihood may then be evaluated to determine whether the result of the replacement is sufficiently likely for an alert to be triggered.
    • 在一些实施例中,评估由基于语音输入的分析的语音处理系统产生的识别结果,用于潜在错误的指示。 在一些实施例中,可以声学上相似或以其他方式混淆的词/短语集合,其识别在域中可能是重要的,可以与语言模型一起使用以评估识别结果,以确定识别结果是否包括这样的 指示。 在一些实施例中,出现在结果中的集合的单词/短语被迭代地替换为该集合中的每个其他单词/短语。 可以使用语言模型来评估替换的结果,以确定在语言和/或域中出现的新创建的字符串的可能性。 然后可以评估可能性以确定替换的结果是否足以触发警报。
    • 87. 发明申请
    • DETECTING POTENTIAL SIGNIFICANT ERRORS IN SPEECH RECOGNITION RESULTS
    • 检测语音识别结果中的潜在重要错误
    • US20140012581A1
    • 2014-01-09
    • US13544331
    • 2012-07-09
    • William F. Ganong, IIIRaghu VemulaRobert Fleming
    • William F. Ganong, IIIRaghu VemulaRobert Fleming
    • G10L15/18
    • G10L15/08G10L15/1815
    • 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 using one or more sets of words and/or phrases, such as pairs of words/phrases that may include words/phrases that are acoustically similar to one another and/or that, when included in a result, would change a meaning of the result in a manner that would be significant for a domain. The recognition results may be evaluated using the set(s) of words/phrases to determine, when the top result includes a word/phrase from a set of words/phrases, whether any of the alternative recognition results includes any of the other, corresponding words/phrases from the set.
    • 在一些实施例中,基于语音输入的分析,由语音处理系统(其可以包括两个或多个识别结果,包括顶部识别结果和一个或多个替代识别结果)产生的识别结果被评估为 潜在的重大错误。 在一些实施例中,可以使用一组或多组单词和/或短语来评估识别结果,所述单词和/或短语组诸如可以包括彼此声学上相似的单词/短语的单词/短语对和/或当包括在 结果将以对域的重要性的方式改变结果的含义。 可以使用单词/短语的集合来评估识别结果,以确定当最顶部结果包括来自一组单词/短语的单词/短语时,是否任何替代识别结果包括任何另一个,相应的 集合中的单词/短语。
    • 88. 发明申请
    • DETECTING POTENTIAL SIGNIFICANT ERRORS IN SPEECH RECOGNITION RESULTS
    • 检测语音识别结果中的潜在重要错误
    • US20140012575A1
    • 2014-01-09
    • US13544383
    • 2012-07-09
    • William F. Ganong, IIIRaghu VemulaRobert Fleming
    • William F. Ganong, IIIRaghu VemulaRobert Fleming
    • G10L15/18G10L15/02
    • G10L15/08G10L15/1815G10L15/1822G10L15/22G10L2015/088
    • 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.
    • 在一些实施例中,基于语音输入的分析,由语音处理系统(其可以包括两个或多个识别结果,包括顶部识别结果和一个或多个替代识别结果)产生的识别结果被评估为 潜在的重大错误。 在一些实施例中,可以评估识别结果以确定任何替代识别结果的含义以对于诸如医学领域的域是重要的方式与顶部识别结果的含义不同。 在一些实施例中,可以由ASR系统混淆的单词和/或短语可以被确定并且在单词和/或短语的集合中相关联。 可以确定的单词和/或短语包括当包括在短语/句子中时改变短语或句子的含义的单词和/或短语。