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41. 发明授权

US08019591B2 Rapid automatic user training with simulated bilingual user actions and responses in speech-to-speech translation 失效
标题翻译：快速自动用户培训，模拟双语用户动作和语音转语音响应
公开(公告)号：US08019591B2
公开(公告)日：2011-09-13
申请号：US11865871
申请日：2007-10-02
申请人： Yuqing Gao , Liang Gu , Wei Zhang
发明人： Yuqing Gao , Liang Gu , Wei Zhang
IPC分类号： G10L15/00
CPC分类号： G10L15/22 , G06F17/2827 , G09B19/06 , G10L13/00
摘要： A system and method for automatic user training in speech-to-speech translation includes integrating an automatic user response system configured to be responsive to a plurality of training items and selecting a training item from the plurality of training items. For the selected training item, in response to an utterance in a first language, the utterance is translated into a second language, and a response to the utterance in the second language is generated. A simulated action corresponding with the response in accordance with a user speaking the second language is also generated. The response and simulated action are output as a learning exercise for learning operations of the automatic user response system.
摘要翻译：用于语音到语音翻译中的自动用户训练的系统和方法包括：将自动用户响应系统集成为被配置为响应于多个训练项目并从多个训练项目中选择训练项目。对于所选择的训练项目，响应于第一语言的发音，话语被转换为第二语言，并且产生对第二语言的话语的响应。还产生了与根据用户说出第二语言的响应相对应的模拟动作。输出响应和模拟动作作为自动用户响应系统的学习操作的学习练习。

42. 发明申请

US20080243476A1 Voice Prompts for Use in Speech-to-Speech Translation System 有权
标题翻译：语音提示用于语音转语音翻译系统
公开(公告)号：US20080243476A1
公开(公告)日：2008-10-02
申请号：US12115205
申请日：2008-05-05
申请人： Yuqing Gao , Liang Gu , Fu-Hua Liu
发明人： Yuqing Gao , Liang Gu , Fu-Hua Liu
IPC分类号： G06F17/28
CPC分类号： G10L13/00 , G10L2015/223
摘要： Techniques for employing improved prompts in a speech-to-speech translation system are disclosed. By way of example, a technique for use in indicating a dialogue turn in an automated speech-to-speech translation system comprises the following steps/operations. One or more text-based scripts are obtained. The one or more text-based scripts are synthesizable into one or more voice prompts. At least one of the one or more voice prompts is synthesized for playback from at least one of the one or more text-based scripts, the at least one synthesized voice prompt comprising an audible message in a language understandable to a speaker interacting with the speech-to-speech translation system, the audible message indicating a dialogue turn in the automated speech-to-speech translation system.
摘要翻译：公开了在语音到语音翻译系统中采用改进提示的技术。作为示例，用于指示自动语音到语音翻译系统中的对话转弯的技术包括以下步骤/操作。获得一个或多个基于文本的脚本。一个或多个基于文本的脚本可以合成为一个或多个语音提示。所述一个或多个语音提示中的至少一个被合成用于从所述一个或多个基于文本的脚本中的至少一个进行回放，所述至少一个合成语音提示包括以与所述语音交互的说话者可理解的语言的可听消息语音翻译系统，该声音消息指示自动语音转语音翻译系统中的对话转换。

43. 发明申请

US20070016399A1 Method and apparatus for detecting data anomalies in statistical natural language applications 审中-公开
标题翻译：用于检测统计自然语言应用中的数据异常的方法和装置
公开(公告)号：US20070016399A1
公开(公告)日：2007-01-18
申请号：US11179789
申请日：2005-07-12
申请人： Yuqing Gao , Hong-Kwang Kuo , Roberto Pieraccini , Jerome Quinn , Cheng Wu
发明人： Yuqing Gao , Hong-Kwang Kuo , Roberto Pieraccini , Jerome Quinn , Cheng Wu
IPC分类号： G06F17/28
CPC分类号： G06F17/2818 , G06K9/6284
摘要： Techniques for detecting data anomalies in a natural language understanding (NLU) system are provided. A number of categorized sentences, categorized into a number of categories, are obtained. Sentences within a given one of the categories are clustered into a number of sub clusters, and the sub clusters are analyzed to identify data anomalies. The clustering can be based on surface forms of the sentences. The anomalies can be, for example, ambiguities or inconsistencies. The clustering can be performed, for example, with a K-means clustering algorithm.
摘要翻译：提供了一种用于检测自然语言理解（NLU）系统中数据异常的技术。获得分类为多个类别的多个分类句子。给定一个类别中的句子被聚集成多个子集群，并且分析子集群以识别数据异常。聚类可以基于句子的表面形式。异常可能是例如歧义或矛盾。可以使用K-means聚类算法来执行聚类。

44. 发明申请

US20050055209A1 Semantic language modeling and confidence measurement 有权
标题翻译：语义语言建模和置信度测量
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
IPC分类号： G10L15/18 , G10L15/28 , 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。

45. 发明授权

US06567771B2 Weighted pair-wise scatter to improve linear discriminant analysis 失效
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.

46. 发明授权

US08571869B2 Natural language system and method based on unisolated performance metric 有权
公开(公告)号：US08571869B2
公开(公告)日：2013-10-29
申请号：US12121329
申请日：2008-05-15
申请人： Sabine Deligne , Yuqing Gao , Vaibhava Goel , Hong-Kwang Kuo , Cheng Wu
发明人： Sabine Deligne , Yuqing Gao , Vaibhava Goel , Hong-Kwang Kuo , Cheng Wu
IPC分类号： G10L15/00
CPC分类号： G10L15/18 , G10L15/065
摘要： A natural language business system and method is developed to understand the underlying meaning of a person's speech, such as during a transaction with the business system. The system includes a speech recognition engine, and action classification engine, and a control module. The control module causes the system to execute an inventive method wherein the speech recognition and action classification models may be recursively optimized on an unisolated performance metric that is pertinent to the overall performance of the natural language business system, as opposed to the isolated model-specific criteria previously employed.

47. 发明授权

US07996211B2 Method and apparatus for fast semi-automatic semantic annotation 有权
标题翻译：快速半自动语义注释的方法和装置
公开(公告)号：US07996211B2
公开(公告)日：2011-08-09
申请号：US12123778
申请日：2008-05-20
申请人： Yuqing Gao , Michael Alan Picheny , Ruhi Sarikaya
发明人： Yuqing Gao , Michael Alan Picheny , Ruhi Sarikaya
IPC分类号： G06F17/27
CPC分类号： G06F17/271 , G06F17/2755
摘要： A method, apparatus and computer instructions is provided for fast semi-automatic semantic annotation. Given a limited annotated corpus, the present invention assigns a tag and a label to each word of the next limited annotated corpus using a parser engine, a similarity engine, and a SVM engine. A rover then combines the parse trees from the three engines and annotates the next chunk of limited annotated corpus with confidence, such that the efforts required for human annotation is reduced.
摘要翻译：提供了一种用于快速半自动语义注释的方法，装置和计算机指令。给定有限的注释语料库，本发明使用解析器引擎，相似性引擎和SVM引擎向下一个有限注释语料库的每个单词分配标签和标签。然后，流动站组合来自三个引擎的解析树，并自信地注释下一批有限注释语料库，从而减少人体注释所需的努力。

48. 发明授权

US07953590B2 Using separate recording channels for speech-to-speech translation systems 失效
标题翻译：使用单独的录音通道进行语音转语音翻译系统
公开(公告)号：US07953590B2
公开(公告)日：2011-05-31
申请号：US11865877
申请日：2007-10-02
申请人： Yuqing Gao , Liang Gu , Wei Zhang
发明人： Yuqing Gao , Liang Gu , Wei Zhang
IPC分类号： G06F17/28 , G10L15/00 , G10L13/00
CPC分类号： G06F17/289
摘要： A system and method for speech-to-speech translation using a translation system includes designating separate input channels for each of a plurality of speakers. In response to speech from a first channel in a first language, the speech from the first channel is translated to a second language, and in response to speech from the second channel in a second language, the speech from the second channel is translated to the first language. Translating the speech from the first channel and translating the speech from the second channel are performed concurrently.
摘要翻译：使用翻译系统的语音到语音翻译的系统和方法包括为多个扬声器中的每一个指定单独的输入通道。响应于来自第一语言的第一信道的语音，来自第一信道的语音被转换为第二语言，并且响应于来自第二语言的第二信道的语音，来自第二信道的语音被转换为第一语言同时执行从第一声道转换语音并且从第二声道转换语音。

49. 发明授权

US07475015B2 Semantic language modeling and confidence measurement 有权
标题翻译：语义语言建模和置信度测量
公开(公告)号：US07475015B2
公开(公告)日：2009-01-06
申请号：US10655838
申请日：2003-09-05
申请人： Mark E. Epstein , Hakan Erdogan , Yuqing Gao , Michael A. Picheny , Ruhi Sarikaya
发明人： Mark E. Epstein , Hakan Erdogan , Yuqing Gao , Michael A. Picheny , Ruhi Sarikaya
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。

50. 发明授权

US06850888B1 Methods and apparatus for training a pattern recognition system using maximal rank likelihood as an optimization function 失效
标题翻译：使用最大秩可能性作为优化函数训练模式识别系统的方法和装置
公开(公告)号：US06850888B1
公开(公告)日：2005-02-01
申请号：US09680706
申请日：2000-10-06
申请人： Yuqing Gao , Yongxin Li , Michael Alan Picheny
发明人： Yuqing Gao , Yongxin Li , Michael Alan Picheny
IPC分类号： G10L15/14 , G10L15/00
CPC分类号： G10L15/144
摘要： A method and apparatus are disclosed for training a pattern recognition system, such as a speech recognition system, using an improved objective function. The concept of rank likelihood, previously applied only to the decding process, is applied in a novel manner to the parameter estimation of the training phase of a pattern recognition system. The disclosed objective function is based on a pseudo-rank likelihood that not only maximizes the likelihood of an observation for the correct class, but also minimizes the likelihoods of the observation for all other classes, such that the discrimination between classes is maximized. A training process is disclosed that utilizes the pseudo-rank likelihood objective function to identify model parameters that will result in a pattern recognizer with the lowest possible recognition error rate. The discrete nature of the rank-based rank likelihood objective function is transformed to allow the parameter estimations to be optimized during the training phase.
摘要翻译：公开了一种使用改进的目标函数来训练诸如语音识别系统的模式识别系统的方法和装置。先前仅适用于解码处理的等级似然性的概念以新颖的方式应用于模式识别系统的训练阶段的参数估计。所公开的目标函数基于伪秩可能性，其不仅使对正确类的观察的可能性最大化，而且使对所有其他类的观察的可能性最小化，使得类之间的区分最大化。公开了一种训练过程，其利用伪秩似然度目标函数来识别将产生具有最低可能识别错误率的模式识别器的模型参数。转换基于秩的等级似然目标函数的离散性质，以便在训练阶段优化参数估计。

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