-
公开(公告)号：US09367526B1
公开(公告)日：2016-06-14
申请号：US13190891
申请日：2011-07-26
申请人： Paul Vozila , Maximilian Bisani , Yi Su , Stephen M. Chu , Stanley F. Chen , Ruhi Sarikaya , Bhuvana Ramabhadran
发明人： Paul Vozila , Maximilian Bisani , Yi Su , Stephen M. Chu , Stanley F. Chen , Ruhi Sarikaya , Bhuvana Ramabhadran
CPC分类号： G06F17/218 , G06F17/2775 , G06F17/2785 , G06F17/30663 , G06F17/30684 , G06F17/30687 , G06F17/30705 , G06F17/30707 , G06Q10/107
摘要： A language processing application employs a classing function optimized for the underlying production application context for which it is expected to process speech. A combination of class based and word based features generates a classing function optimized for a particular production application, meaning that a language model employing the classing function uses word classes having a high likelihood of accurately predicting word sequences encountered by a language model invoked by the production application. The classing function optimizes word classes by aligning the objective of word classing with the underlying language processing task to be performed by the production application. The classing function is optimized to correspond to usage in the production application context using class-based and word-based features by computing a likelihood of a word in an n-gram and a frequency of a word within a class of the n-gram.
摘要翻译： 语言处理应用程序使用针对其预期处理语音的底层生产应用程序环境进行优化的分类功能。 基于类和基于字的特征的组合产生针对特定生产应用优化的分类功能，这意味着采用分类函数的语言模型使用具有准确预测由生产调用的语言模型遇到的单词序列的高似然性的单词类 应用。 分类函数通过将单词分类的目标与生产应用程序执行的底层语言处理任务进行对齐来优化单词类。 通过计算n-gram中的单词和n-gram类中的单词的可能性，使用基于类和基于单词的特征来优化分类功能以对应于生产应用上下文中的使用。
-
公开(公告)号：US20080243500A1
公开(公告)日：2008-10-02
申请号：US11693961
申请日：2007-03-30
申请人： Maximilian Bisani , Paul Vozila , Olivier Divay
发明人： Maximilian Bisani , Paul Vozila , Olivier Divay
IPC分类号： G10L15/00
CPC分类号： G10L15/26 , G06F17/2715
摘要： An input sequence of unstructured speech recognition text is transformed into output structured document text. A probabilistic word substitution model is provided which establishes association probabilities indicative of target structured document text correlating with source unstructured speech recognition text. The input sequence of unstructured speech recognition text is looked up in the word substitution model to determine likelihoods of the represented structured document text corresponding to the text in the input sequence. Then, a most likely sequence of structured document text is generated as an output.
摘要翻译： 非结构化语音识别文本的输入序列被转换为输出结构化文档文本。 提供概率词替代模型，其建立指示与源非结构化语音识别文本相关联的目标结构化文档文本的关联概率。 在单词替换模型中查找非结构化语音识别文本的输入序列，以确定与输入序列中的文本相对应的表示的结构化文档文本的可能性。 然后，生成最可能的结构化文档文本序列作为输出。
-
公开(公告)号：US07813929B2
公开(公告)日：2010-10-12
申请号：US11693961
申请日：2007-03-30
申请人： Maximilian Bisani , Paul Vozila , Olivier Divay
发明人： Maximilian Bisani , Paul Vozila , Olivier Divay
IPC分类号： G10L15/18
CPC分类号： G10L15/26 , G06F17/2715
摘要： An input sequence of unstructured speech recognition text is transformed into output structured document text. A probabilistic word substitution model is provided which establishes association probabilities indicative of target structured document text correlating with source unstructured speech recognition text. The input sequence of unstructured speech recognition text is looked up in the word substitution model to determine likelihoods of the represented structured document text corresponding to the text in the input sequence. Then, a most likely sequence of structured document text is generated as an output.
摘要翻译： 非结构化语音识别文本的输入序列被转换为输出结构化文档文本。 提供概率词替代模型，其建立指示与源非结构化语音识别文本相关联的目标结构化文档文本的关联概率。 在单词替换模型中查找非结构化语音识别文本的输入序列，以确定与输入序列中的文本相对应的表示的结构化文档文本的可能性。 然后，生成最可能的结构化文档文本序列作为输出。
-
公开(公告)号：US09697834B2
公开(公告)日：2017-07-04
申请号：US14416955
申请日：2012-07-26
CPC分类号： G10L15/26 , G06F17/211
摘要： A computer implemented method and system of formatting text output from a speech recognition system is provided. The method includes determining if a user correction to a text output from a speech recognition system can be accomplished by changing a formatting setting associated with the speech recognition system. The formatting setting is changed based on an inferential indication that the change to the formatting setting is acceptable to the user and/or an explicit confirmation from the user that the change to the formatting setting is acceptable.
-
公开(公告)号：US20150262580A1
公开(公告)日：2015-09-17
申请号：US14416955
申请日：2012-07-26
IPC分类号： G10L15/26
CPC分类号： G10L15/26 , G06F17/211
摘要： A computer implemented method and system of formatting text output from a speech recognition system is provided. The method includes determining if a user correction to a text output from a speech recognition system can be accomplished by changing a formatting setting associated with the speech recognition system. The formatting setting is changed based on an inferential indication that the change to the formatting setting is acceptable to the user and/or an explicit confirmation from the user that the change to the formatting setting is acceptable.
摘要翻译： 提供了一种从语音识别系统格式化文本输出的计算机实现的方法和系统。 所述方法包括：通过改变与所述语音识别系统相关联的格式化设置来确定是否可以通过语音识别系统输出的文本对用户进行校正。 基于对用户可接受的格式化设置的改变和/或来自用户的明确确认对格式化设置的改变是可接受的指示，格式设置被改变。
-
-
-
-
搜索结果
5 条记录 (耗时 0.025 秒)
