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1. 发明申请

US20090070112A1 Automatic reading tutoring 有权
标题翻译：自动阅读辅导
公开(公告)号：US20090070112A1
公开(公告)日：2009-03-12
申请号：US11900274
申请日：2007-09-11
申请人： Xiaolong Li , Li Deng , Yun-Cheng Ju , Alex Acero
发明人： Xiaolong Li , Li Deng , Yun-Cheng Ju , Alex Acero
IPC分类号： G10L15/18
CPC分类号： G10L15/18 , G09B17/003 , G10L15/183
摘要： A method of providing automatic reading tutoring is disclosed. The method includes retrieving a textual indication of a story from a data store and creating a language model including constructing a target context free grammar indicative of a first portion of the story. A first acoustic input is received and a speech recognition engine is employed to recognize the first acoustic input. An output of the speech recognition engine is compared to the language model and a signal indicative of whether the output of the speech recognition matches at least a portion of the target context free grammar is provided.
摘要翻译：公开了提供自动阅读辅导的方法。该方法包括从数据存储中检索故事的文本指示并创建包括构建指示故事的第一部分的目标上下文自由语法的语言模型。接收到第一声输入，并且采用语音识别引擎来识别第一声输入。将语音识别引擎的输出与语言模型进行比较，并且提供指示语音识别的输出是否与目标语境自由语法的至少一部分匹配的信号。

2. 发明授权

US08306822B2 Automatic reading tutoring using dynamically built language model 有权
标题翻译：使用动态内置语言模型进行自动阅读辅导
公开(公告)号：US08306822B2
公开(公告)日：2012-11-06
申请号：US11900274
申请日：2007-09-11
申请人： Xiaolong Li , Li Deng , Yun-Cheng Ju , Alex Acero
发明人： Xiaolong Li , Li Deng , Yun-Cheng Ju , Alex Acero
IPC分类号： G10L15/22
CPC分类号： G10L15/18 , G09B17/003 , G10L15/183
摘要： A method of providing automatic reading tutoring is disclosed. The method includes retrieving a textual indication of a story from a data store and creating a language model including constructing a target context free grammar indicative of a first portion of the story. A first acoustic input is received and a speech recognition engine is employed to recognize the first acoustic input. An output of the speech recognition engine is compared to the language model and a signal indicative of whether the output of the speech recognition matches at least a portion of the target context free grammar is provided.
摘要翻译：公开了提供自动阅读辅导的方法。该方法包括从数据存储中检索故事的文本指示并创建包括构建指示故事的第一部分的目标上下文自由语法的语言模型。接收到第一声输入，并且采用语音识别引擎来识别第一声输入。将语音识别引擎的输出与语言模型进行比较，并且提供指示语音识别的输出是否与目标语境自由语法的至少一部分匹配的信号。

3. 发明申请

US20080177545A1 Automatic reading tutoring with parallel polarized language modeling 有权
标题翻译：使用平行极化语言建模的自动阅读辅导
公开(公告)号：US20080177545A1
公开(公告)日：2008-07-24
申请号：US11655702
申请日：2007-01-19
申请人： Xiaolong Li , Yun-Cheng Ju , Li Deng , Alejandro Acero
发明人： Xiaolong Li , Yun-Cheng Ju , Li Deng , Alejandro Acero
IPC分类号： G10L15/28
CPC分类号： G06F17/271 , G09B17/003 , G10L15/197 , G10L2015/221
摘要： A novel system for automatic reading tutoring provides effective error detection and reduced false alarms combined with low processing time burdens and response times short enough to maintain a natural, engaging flow of interaction. According to one illustrative embodiment, an automatic reading tutoring method includes displaying a text output and receiving an acoustic input. The acoustic input is modeled with a domain-specific target language model specific to the text output, and with a general-domain garbage language model, both of which may be efficiently constructed as context-free grammars. The domain-specific target language model may be built dynamically or “on-the-fly” based on the currently displayed text (e.g. the story to be read by the user), while the general-domain garbage language model is shared among all different text outputs. User-perceptible tutoring feedback is provided based on the target language model and the garbage language model.
摘要翻译：用于自动阅读辅导的新颖系统提供了有效的错误检测和减少的假警报以及较短的处理时间负担和响应时间足够短以保持自然的，互动的互动流。根据一个说明性实施例，自动阅读辅导方法包括显示文本输出并接收声输入。声输入是用专门针对文本输出的领域特定的目标语言模型建立的，并且具有通用域垃圾语言模型，这两种语言模型都可以被有效地构建为无上下文的语法。可以基于当前显示的文本（例如，用户要阅读的故事）动态地或“即时”地构建特定领域的目标语言模型，而一般域垃圾语言模型在所有不同的方式之间共享文本输出。基于目标语言模型和垃圾语言模型提供了用户可感知的辅导反馈。

4. 发明授权

US08433576B2 Automatic reading tutoring with parallel polarized language modeling 有权
标题翻译：使用平行极化语言建模的自动阅读辅导
公开(公告)号：US08433576B2
公开(公告)日：2013-04-30
申请号：US11655702
申请日：2007-01-19
申请人： Xiaolong Li , Yun-Cheng Ju , Li Deng , Alejandro Acero
发明人： Xiaolong Li , Yun-Cheng Ju , Li Deng , Alejandro Acero
IPC分类号： G10L15/22
CPC分类号： G06F17/271 , G09B17/003 , G10L15/197 , G10L2015/221
摘要： A novel system for automatic reading tutoring provides effective error detection and reduced false alarms combined with low processing time burdens and response times short enough to maintain a natural, engaging flow of interaction. According to one illustrative embodiment, an automatic reading tutoring method includes displaying a text output and receiving an acoustic input. The acoustic input is modeled with a domain-specific target language model specific to the text output, and with a general-domain garbage language model, both of which may be efficiently constructed as context-free grammars. The domain-specific target language model may be built dynamically or “on-the-fly” based on the currently displayed text (e.g. the story to be read by the user), while the general-domain garbage language model is shared among all different text outputs. User-perceptible tutoring feedback is provided based on the target language model and the garbage language model.
摘要翻译：用于自动阅读辅导的新颖系统提供了有效的错误检测和减少的假警报以及较短的处理时间负担和响应时间足够短以保持自然的，互动的互动流。根据一个说明性实施例，自动阅读辅导方法包括显示文本输出并接收声输入。声输入是用专门针对文本输出的领域特定的目标语言模型建立的，并且具有通用域垃圾语言模型，这两种语言模型都可以被有效地构建为无上下文的语法。可以基于当前显示的文本（例如，用户要阅读的故事）动态地或“即时”地构建特定领域的目标语言模型，而一般域垃圾语言模型在所有不同的方式之间共享文本输出。基于目标语言模型和垃圾语言模型提供了用户可感知的辅导反馈。

5. 发明申请

US20090043497A1 Conveying Locations In Spoken Dialog Systems 有权
标题翻译：输入口语对话系统中的位置
公开(公告)号：US20090043497A1
公开(公告)日：2009-02-12
申请号：US11836955
申请日：2007-08-10
申请人： Ivan Tashev , Michael Lewis Seltzer , Yun-Cheng Ju , Alex Acero
发明人： Ivan Tashev , Michael Lewis Seltzer , Yun-Cheng Ju , Alex Acero
IPC分类号： G01C21/34
CPC分类号： G01C21/3644 , G01C21/3679
摘要： The presentation of location information to a user that is distracted by traveling can result in the user quickly forgetting, or never even comprehending, key parts of the location information, such as the street number. Identification can be made of intersections and points of interest near the user's destination, which can then be provided instead of, or in addition to, the address, thereby increasing user comprehension and retention, especially when distracted. Map data can be parsed into addresses, intersections and points of interest databases. These databases can be accessed to identify proximate intersections and points of interest, which can then be filtered and subsequently ranked to identify one intersection, one point of interest, or both, that can be presented to the user to aid the user in comprehending and retaining the location information even when distracted.
摘要翻译：通过旅行分散给用户的位置信息的呈现可能导致用户快速地忘记甚至不理解诸如街道号码的位置信息的关键部分。识别可以由用户目的地附近的交叉点和兴趣点组成，然后可以提供地址，也可以除了地址之外，还可以提供用户的理解和保留，特别是在分心时。地图数据可以解析为地址，交叉点和兴趣点数据库。可以访问这些数据库以识别最近的交叉点和兴趣点，然后可以对这些数据进行过滤并随后进行排序以识别一个交点，一个兴趣点或二者，可以呈现给用户以帮助用户理解和保留位置信息即使分心。

6. 发明授权

US08065078B2 Conveying locations in spoken dialog systems 有权
标题翻译：在口语对话系统中传送位置
公开(公告)号：US08065078B2
公开(公告)日：2011-11-22
申请号：US11836955
申请日：2007-08-10
申请人： Ivan Tashev , Michael Lewis Seltzer , Yun-Cheng Ju , Alex Acero
发明人： Ivan Tashev , Michael Lewis Seltzer , Yun-Cheng Ju , Alex Acero
IPC分类号： G01C21/00 , G08G1/123
CPC分类号： G01C21/3644 , G01C21/3679
摘要： The presentation of location information to a user that is distracted by traveling can result in the user quickly forgetting, or never even comprehending, key parts of the location information, such as the street number. Identification can be made of intersections and points of interest near the user's destination, which can then be provided instead of, or in addition to, the address, thereby increasing user comprehension and retention, especially when distracted. Map data can be parsed into addresses, intersections and points of interest databases. These databases can be accessed to identify proximate intersections and points of interest, which can then be filtered and subsequently ranked to identify one intersection, one point of interest, or both, that can be presented to the user to aid the user in comprehending and retaining the location information even when distracted.
摘要翻译：通过旅行分散给用户的位置信息的呈现可能导致用户快速地忘记甚至不理解诸如街道号码的位置信息的关键部分。识别可以由用户目的地附近的交叉点和兴趣点组成，然后可以提供地址，也可以除了地址之外提供，从而增加用户理解和保留，特别是在分心时。地图数据可以解析为地址，交叉点和兴趣点数据库。可以访问这些数据库以识别最近的交叉点和兴趣点，然后可以对这些数据进行过滤并随后进行排序以识别一个交点，一个兴趣点或二者，可以呈现给用户以帮助用户理解和保留位置信息即使分心。

7. 发明申请

US20090248422A1 INTRA-LANGUAGE STATISTICAL MACHINE TRANSLATION 有权
标题翻译：语言统计机翻译
公开(公告)号：US20090248422A1
公开(公告)日：2009-10-01
申请号：US12058328
申请日：2008-03-28
申请人： Xiao Li , Yun-Cheng Ju , Geoffrey Zweig , Alex Acero
发明人： Xiao Li , Yun-Cheng Ju , Geoffrey Zweig , Alex Acero
IPC分类号： G10L11/00 , G06F17/28
CPC分类号： G06F17/2818 , G06F17/2827
摘要： Training data may be provided, the training data including pairs of source phrases and target phrases. The pairs may be used to train an intra-language statistical machine translation model, where the intra-language statistical machine translation model, when given an input phrase of text in the human language, can compute probabilities of semantic equivalence of the input phrase to possible translations of the input phrase in the human language. The statistical machine translation model may be used to translate between queries and listings. The queries may be text strings in the human language submitted to a search engine. The listing strings may be text strings of formal names of real world entities that are to be searched by the search engine to find matches for the query strings.
摘要翻译：可以提供训练数据，训练数据包括源短语和目标短语对。这些对可以用于训练语言间统计机器翻译模型，其中语言内统计机器翻译模型在给予人类语言的文本的输入短语时可以计算输入短语的语义等同性的可能性输入短语在人类语言中的翻译。统计机器翻译模型可用于在查询和列表之间进行翻译。查询可以是提交给搜索引擎的人类语言中的文本字符串。列表字符串可以是要由搜索引擎搜索以查找查询字符串的匹配的真实世界实体的正式名称的文本串。

8. 发明授权

US09082403B2 Spoken utterance classification training for a speech recognition system 有权
标题翻译：语音识别系统讲话分类训练
公开(公告)号：US09082403B2
公开(公告)日：2015-07-14
申请号：US13326659
申请日：2011-12-15
申请人： Yun-Cheng Ju , James Garnet Droppo, III
发明人： Yun-Cheng Ju , James Garnet Droppo, III
IPC分类号： G10L15/00 , G10L15/18
CPC分类号： G10L15/1822
摘要： The subject disclosure is directed towards training a classifier for spoken utterances without relying on human-assistance. The spoken utterances may be related to a voice menu program for which a speech comprehension component interprets the spoken utterances into voice menu options. The speech comprehension component provides confirmations to some of the spoken utterances in order to accurately assign a semantic label. For each spoken utterance with a denied confirmation, the speech comprehension component automatically generates a pseudo-semantic label that is consistent with the denied confirmation and selected from a set of potential semantic labels and updates a classification model associated with the classifier using the pseudo-semantic label.
摘要翻译：主题披露旨在培训用于讲话的分类器，而不依赖人力援助。讲话话语可能与语音菜单程序相关，语音理解组件将语音话语解释成语音菜单选项。语音理解组件为一些语音语音提供了确认，以便准确地分配语义标签。对于每个具有拒绝确认的口语说话，语音理解组件自动生成与拒绝确认一致的伪语义标签，并从一组潜在语义标签中选择，并使用伪语义更新与分类器相关联的分类模型标签。

9. 发明申请

US20120185252A1 CONFIDENCE MEASURE GENERATION FOR SPEECH RELATED SEARCHING 有权
标题翻译：用于语音相关搜索的信心度量产生
公开(公告)号：US20120185252A1
公开(公告)日：2012-07-19
申请号：US13428917
申请日：2012-03-23
申请人： Ye-Yi Wang , Yun-Cheng Ju , Dong Yu
发明人： Ye-Yi Wang , Yun-Cheng Ju , Dong Yu
IPC分类号： G10L15/04
CPC分类号： G10L15/1822
摘要： A method of generating a confidence measure generator is provided for use in a voice search system, the voice search system including voice search components comprising a speech recognition system, a dialog manager and a search system. The method includes selecting voice search features, from a plurality of the voice search components, to be considered by the confidence measure generator in generating a voice search confidence measure. The method includes training a model, using a computer processor, to generate the voice search confidence measure based on selected voice search features.
摘要翻译：提供了一种产生置信度量产生器的方法，用于语音搜索系统中，该语音搜索系统包括包括语音识别系统，对话管理器和搜索系统的语音搜索组件。该方法包括从多个语音搜索组件中选择语音搜索特征，以由置信度量产生器在生成语音搜索置信度量时考虑。该方法包括使用计算机处理器来训练模型，以基于所选择的语音搜索特征生成语音搜索置信度度量。

10. 发明申请

US20090287626A1 MULTI-MODAL QUERY GENERATION 审中-公开
标题翻译：多模式查询生成
公开(公告)号：US20090287626A1
公开(公告)日：2009-11-19
申请号：US12200648
申请日：2008-08-28
申请人： Timothy Seung Yoon Paek , Bo Thiesson , Yun-Cheng Ju , Bongshin Lee , Christopher A. Meek
发明人： Timothy Seung Yoon Paek , Bo Thiesson , Yun-Cheng Ju , Bongshin Lee , Christopher A. Meek
IPC分类号： G06F7/06 , G06F17/30 , G06N5/02
CPC分类号： G06F16/3322 , G10L15/26
摘要： A multi-modal search system (and corresponding methodology) is provided. The system employs text, speech, touch and gesture input to establish a search query. Additionally, a subset of the modalities can be used to obtain search results based upon exact or approximate matches to a search result. For example, wildcards, which can either be triggered by the user or inferred by the system, can be employed in the search.
摘要翻译：提供了一种多模式搜索系统（及相应的方法）。系统采用文字，语音，触摸和手势输入建立搜索查询。此外，模态的子集可以用于基于与搜索结果的精确或近似匹配来获得搜索结果。例如，可以由用户触发或由系统推断的通配符可用于搜索。

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