公开(公告)号：US07949526B2

公开(公告)日：2011-05-24

申请号：US11810086

申请日：2007-06-04

申请人： Yun-Cheng Ju ,  Alejandro Acero ,  Neal Bernstein ,  Geoffrey Zweig

发明人： Yun-Cheng Ju ,  Alejandro Acero ,  Neal Bernstein ,  Geoffrey Zweig

IPC分类号： G10L15/00

CPC分类号： G10L15/005 ,  G10L17/26 ,  H04M3/4211 ,  H04M3/4878 ,  H04M3/493 ,  H04M2201/40

摘要： A voice interaction system is configured to analyze an utterance and identify inherent attributes that are indicative of a demographic characteristic of the system user that spoke the utterance. The system then selects and presents a personalized response to the user, the response being selected based at least in part on the identified demographic characteristic. In one embodiment, the demographic characteristic is one or more of the caller's age, gender, ethnicity, education level, emotional state, health status and geographic group. In another embodiment, the selection of the response is further based on consideration of corroborative caller data.

摘要翻译： 语音交互系统被配置为分析话语并且识别指示说话的系统用户的人口特征的固有属性。 然后，系统选择并向用户呈现个性化的响应，至少部分地基于所识别的人口特征来选择响应。 在一个实施例中，人口特征是呼叫者的年龄，性别，种族，教育水平，情绪状态，健康状况和地理组中的一个或多个。 在另一个实施例中，响应的选择进一步基于对确认呼叫者数据的考虑。

公开(公告)号：US20080172376A1

公开(公告)日：2008-07-17

申请号：US11652733

申请日：2007-01-12

申请人： Dong Yu ,  Alejandro Acero ,  Yun-Cheng Ju ,  Ye-Yi Wang

发明人： Dong Yu ,  Alejandro Acero ,  Yun-Cheng Ju ,  Ye-Yi Wang

IPC分类号： G06F17/30

CPC分类号： G06F17/30663 ,  Y10S707/99933 ,  Y10S707/99935 ,  Y10S707/99942

摘要： A computer-implemented method is disclosed for providing a directory assistance service. The method includes generating an indexing file that is a representation of information associated with a collection of listings stored in an index. The indexing file is utilized as a basis for ranking listings in an index based on the strength of association with a query. Based at least in part on the ranking, an output is provided and is indicative of listings in the index that are likely correspond to the query. At least one particular listing in the index is excluded from the output without there ever being a comparison of features in the query with features in the one particular listing.

摘要翻译： 公开了一种用于提供目录辅助服务的计算机实现的方法。 该方法包括生成索引文件，其是与存储在索引中的列表的集合相关联的信息的表示。 基于与查询的关联强度，索引文件被用作在索引中对列表进行排名的基础。 至少部分地基于排名，提供输出并且指示索引中可能对应于查询的列表。 索引中的至少一个特定列表从输出中排除，而不会将查询中的功能与特定列表中的功能进行比较。

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。

公开(公告)号：US20080147400A1

公开(公告)日：2008-06-19

申请号：US11642003

申请日：2006-12-19

申请人： Dong Yu ,  Alejandro Acero ,  Yun-Cheng Ju

发明人： Dong Yu ,  Alejandro Acero ,  Yun-Cheng Ju

IPC分类号： G10L15/04

CPC分类号： G10L15/063 ,  G10L15/197

摘要： A statistical language model is trained for use in a directory assistance system using the data in a directory assistance listing corpus. Calculations are made to determine how important words in the corpus are in distinguishing a listing from other listings, and how likely words are to be omitted or added by a user. The language model is trained using these calculations.

摘要翻译： 训练统计语言模型，以使用目录援助列表语料库中的数据在目录辅助系统中使用。 进行计算，以确定语料库中的单词在区分列表和其他列表中的重要程度以及用户可能忽略或添加单词的可能性。 使用这些计算训练语言模型。

公开(公告)号：US20080147381A1

公开(公告)日：2008-06-19

申请号：US11638071

申请日：2006-12-13

申请人： Dong Yu ,  Alejandro Acero ,  Yun-Cheng Ju

发明人： Dong Yu ,  Alejandro Acero ,  Yun-Cheng Ju

IPC分类号： G06F17/27

CPC分类号： G06F17/2755

摘要： A computer-implemented method is disclosed for improving the accuracy of a directory assistance system. The method includes constructing a prefix tree based on a collection of alphabetically organized words. The prefix tree is utilized as a basis for generating splitting rules for a compound word included in an index associated with the directory assistance system. A language model check and a pronunciation check are conducted in order to determine which of the generated splitting rules are mostly likely correct. The compound word is split into word components based on the most likely correct rule or rules. The word components are incorporated into a data set associated with the directory assistance system, such as into a recognition grammar and/or the index.

摘要翻译： 公开了一种用于提高目录辅助系统的准确性的计算机实现的方法。 该方法包括基于字母组织的字的集合构建前缀树。 前缀树被用作为包括在与目录辅助系统相关联的索引中的复合词生成分割规则的基础。 进行语言模型检查和发音检查，以确定哪些生成的分裂规则最可能是正确的。 复合词根据最可能的正确规则或规则分为单词组成部分。 单词组件被合并到与目录辅助系统相关联的数据集中，诸如识别语法和/或索引。

公开(公告)号：US20080015846A1

公开(公告)日：2008-01-17

申请号：US11485011

申请日：2006-07-12

申请人： Alejandro Acero ,  Craig M. Fisher ,  Dong Yu ,  Ye-Yi Wang ,  Yun-Cheng Ju

发明人： Alejandro Acero ,  Craig M. Fisher ,  Dong Yu ,  Ye-Yi Wang ,  Yun-Cheng Ju

IPC分类号： G10L19/00

CPC分类号： G10L25/78 ,  G10L15/22 ,  G10L15/26 ,  H04M3/5158 ,  H04M2203/2027

摘要： An answering machine detection module is used to determine whether a call recipient is an actual person or an answering machine. The answering machine detection module includes a speech recognizer and a call analysis module. The speech recognizer receives an audible response of the call recipient to a call. The speech recognizer processes the audible response and provides an output indicative of recognized speech. The call analysis module processes the output of the speech recognizer to generate an output indicative of whether the call recipient is a person or an answering machine.

摘要翻译： 应答机检测模块用于确定呼叫接收者是实际的人还是应答机。 应答机检测模块包括语音识别器和呼叫分析模块。 语音识别器接收呼叫接收者对呼叫的可听见的响应。 语音识别器处理可听见的响应并提供表示识别的语音的输出。 呼叫分析模块处理语音识别器的输出以产生指示呼叫接收者是个人还是应答机的输出。

公开(公告)号：US09218412B2

公开(公告)日：2015-12-22

申请号：US11746847

申请日：2007-05-10

申请人： Ye-Yi Wang ,  Dong Yu ,  Yun-Cheng Ju ,  Alejandro Acero ,  Geoffrey G. Zweig

发明人： Ye-Yi Wang ,  Dong Yu ,  Yun-Cheng Ju ,  Alejandro Acero ,  Geoffrey G. Zweig

IPC分类号： G06F7/00 ,  G06F17/30 ,  G06F3/06 ,  G10L15/187 ,  G10L15/197

CPC分类号： G06F17/30663 ,  G06F3/0641 ,  G06F17/3069 ,  G10L15/187 ,  G10L15/197

摘要： A database having listings rather than long documents is searched using a term frequency-inverse document frequency (Tf/Idf) algorithm.

摘要翻译： 使用术语频率 - 逆文档频率（Tf / Idf）算法搜索具有列表而不是长文档的数据库。

公开(公告)号：US08285542B2

公开(公告)日：2012-10-09

申请号：US13027921

申请日：2011-02-15

申请人： Dong Yu ,  Alejandro Acero ,  Yun-Cheng Ju

发明人： Dong Yu ,  Alejandro Acero ,  Yun-Cheng Ju

IPC分类号： G06F17/21

CPC分类号： G10L15/063 ,  G10L15/197

摘要： A statistical language model is trained for use in a directory assistance system using the data in a directory assistance listing corpus. Calculations are made to determine how important words in the corpus are in distinguishing a listing from other listings, and how likely words are to be omitted or added by a user. The language model is trained using these calculations.

摘要翻译： 训练统计语言模型，以使用目录援助列表语料库中的数据在目录辅助系统中使用。 进行计算，以确定语料库中的单词在区分列表和其他列表中的重要程度以及用户可能忽略或添加单词的可能性。 使用这些计算训练语言模型。

公开(公告)号：US20110137639A1

公开(公告)日：2011-06-09

申请号：US13027921

申请日：2011-02-15

申请人： Dong Yu ,  Alejandro Acero ,  Yun-Cheng Ju

发明人： Dong Yu ,  Alejandro Acero ,  Yun-Cheng Ju

IPC分类号： G06F17/27

CPC分类号： G10L15/063 ,  G10L15/197

摘要： A statistical language model is trained for use in a directory assistance system using the data in a directory assistance listing corpus. Calculations are made to determine how important words in the corpus are in distinguishing a listing from other listings, and how likely words are to be omitted or added by a user. The language model is trained using these calculations.

摘要翻译： 训练统计语言模型，以使用目录援助列表语料库中的数据在目录辅助系统中使用。 进行计算，以确定语料库中的单词在区分列表和其他列表中的重要程度以及用户可能忽略或添加单词的可能性。 使用这些计算训练语言模型。

公开(公告)号：US07860707B2

公开(公告)日：2010-12-28

申请号：US11638071

申请日：2006-12-13

申请人： Dong Yu ,  Alejandro Acero ,  Yun-Cheng Ju

发明人： Dong Yu ,  Alejandro Acero ,  Yun-Cheng Ju

IPC分类号： G06F17/28

CPC分类号： G06F17/2755

摘要： A computer-implemented method is disclosed for improving the accuracy of a directory assistance system. The method includes constructing a prefix tree based on a collection of alphabetically organized words. The prefix tree is utilized as a basis for generating splitting rules for a compound word included in an index associated with the directory assistance system. A language model check and a pronunciation check are conducted in order to determine which of the generated splitting rules are mostly likely correct. The compound word is split into word components based on the most likely correct rule or rules. The word components are incorporated into a data set associated with the directory assistance system, such as into a recognition grammar and/or the index.

摘要翻译： 公开了一种用于提高目录辅助系统的准确性的计算机实现的方法。 该方法包括基于字母组织的字的集合构建前缀树。 前缀树被用作为包括在与目录辅助系统相关联的索引中的复合词生成分割规则的基础。 进行语言模型检查和发音检查，以确定哪些生成的分裂规则最可能是正确的。 复合词根据最可能的正确规则或规则分为单词组成部分。 单词组件被合并到与目录辅助系统相关联的数据集中，诸如识别语法和/或索引。