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公开(公告)号：US07475015B2
公开(公告)日：2009-01-06
申请号：US10655838
申请日：2003-09-05
IPC分类号： G10L15/00
CPC分类号： G10L15/1815
摘要： A system and method for speech recognition includes generating a set of likely hypotheses in recognizing speech, rescoring the likely hypotheses by using semantic content by employing semantic structured language models, and scoring parse trees to identify a best sentence according to the sentence's parse tree by employing the semantic structured language models to clarify the recognized speech.
摘要翻译： 一种用于语音识别的系统和方法包括在识别语音中产生一组可能的假设，通过使用语义结构化语言模型通过使用语义内容来重新计算可能的假设，并且通过采用语法结构语言模型对解析树进行评分以识别根据句子的解析树的最佳句子 语义结构语言模型来澄清公认的言语。
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公开(公告)号：US20050055209A1
公开(公告)日：2005-03-10
申请号：US10655838
申请日：2003-09-05
申请人： Mark Epstein , Hakan Erdogan , Yuqing Gao , Michael Picheny , Ruhi Sarikaya
发明人： Mark Epstein , Hakan Erdogan , Yuqing Gao , Michael Picheny , Ruhi Sarikaya
CPC分类号： G10L15/1815
摘要： A system and method for speech recognition includes generating a set of likely hypotheses in recognizing speech, rescoring the likely hypotheses by using semantic content by employing semantic structured language models, and scoring parse trees to identify a best sentence according to the sentence's parse tree by employing the semantic structured language models to clarify the recognized speech.
摘要翻译： 一种用于语音识别的系统和方法包括在识别语音中产生一组可能的假设，通过使用语义结构化语言模型通过使用语义内容来重新计算可能的假设，并且通过采用语法结构语言模型对解析树进行评分以识别根据句子的解析树的最佳句子 语义结构语言模型来澄清公认的言语。
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公开(公告)号：US06925154B2
公开(公告)日：2005-08-02
申请号：US10139255
申请日：2002-05-03
CPC分类号： H04M3/42204 , G10L15/26 , G10L2015/223 , H04M1/271 , H04M3/4931 , H04M2201/40
摘要： Techniques for providing an automated conversational name dialing system for placing a call in response to an input by a user. One technique begins with the step of analyzing an input from a user, wherein the input includes information directed to identifying an intended recipient of a telephone call from the user. At least one candidate for the intended recipient is identified in response to the input, wherein the at least one candidate represents at least one potential match between the intended recipient and a predetermined vocabulary. A confidence measure indicative of a likelihood that the at least one candidate is the intended recipient is determined, and additional information is obtained from the user to increase the likelihood that the at least one candidate is the intended recipient, based on the determined confidence measure.
摘要翻译： 用于提供自动对话名称拨号系统的技术，用于响应于用户的输入发出呼叫。 一种技术从分析来自用户的输入的步骤开始，其中输入包括用于从用户识别电话呼叫的预期接收者的信息。 响应于输入识别预期接收者的至少一个候选者，其中所述至少一个候选者表示预期接收者和预定词汇之间的至少一个潜在匹配。 确定指示至少一个候选者是预期接收者的可能性的置信度量度，并且基于所确定的置信度量度，从用户获得附加信息以增加至少一个候选者是预期接收者的可能性。
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公开(公告)号：US06567771B2
公开(公告)日：2003-05-20
申请号：US09785606
申请日：2001-02-16
申请人： Hakan Erdogan , Yuqing Gao , Yongxin Li
发明人： Hakan Erdogan , Yuqing Gao , Yongxin Li
IPC分类号： G06F1500
CPC分类号： G06K9/6234 , G06K9/6281 , G10L15/02
摘要： In general, the present invention determines and applies weights for class pairs. The weights are selected to better separate, in reduced-dimensional class space, the classes that are confusable in normal-dimensional class space. During the dimension-reducing process, higher weights are preferably assigned to more confusable class pairs while lower weights are assigned to less confusable class pairs. As compared to unweighted Linear Discriminant Analysis (LDA), the present invention will result in decreased confusability of class pairs in reduced-dimensional class space. The weights can be assigned through a monotonically decreasing function of distance, which assigns lower weights to class pairs that are separated by larger distances. Additionally, weights may also be assigned through a monotonically increasing function of confusability, in which higher weights would be assigned to class pairs that are more confusable.
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