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1. 发明授权

US07860705B2 Methods and apparatus for context adaptation of speech-to-speech translation systems 有权
标题翻译：语音到语音翻译系统的语境适应方法和设备
公开(公告)号：US07860705B2
公开(公告)日：2010-12-28
申请号：US11514604
申请日：2006-09-01
申请人： Mohamed A. Afify , Yuqing Gao , Liang Gu , Hong-Kwang Jeff Kuo , Bowen Zhou
发明人： Mohamed A. Afify , Yuqing Gao , Liang Gu , Hong-Kwang Jeff Kuo , Bowen Zhou
IPC分类号： G06F17/28 , G10L15/00 , G10L13/00
CPC分类号： G06Q30/02 , G10L15/22
摘要： A technique for context adaptation of a speech-to-speech translation system is provided. A plurality of sets of paralinguistic attribute values is obtained from a plurality of input signals. Each set of the plurality of sets of paralinguistic attribute values is extracted from a corresponding input signal of the plurality of input signals via a corresponding classifier of a plurality of classifiers. A final set of paralinguistic attribute values is generated for the plurality of input signals from the plurality of sets of paralinguistic attribute values. Performance of at least one of a speech recognition module, a translation module and a text-to-speech module of the speech-to-speech translation system is modified in accordance with the final set of paralinguistic attribute values for the plurality of input signals.
摘要翻译：提供了一种用于语音到语音翻译系统的上下文适配的技术。从多个输入信号获得多组协同属性值。通过多个分类器的对应的分类器从多个输入信号的对应的输入信号中提取多组合作属性值中的每一组。针对来自多组协同属性值的多个输入信号生成最终的一些paralinguistic属性值。语音转语音翻译系统的语音识别模块，翻译模块和文本到语音模块中的至少一个的性能根据用于多个输入信号的最终的协同属性值组进行修改。

2. 发明授权

US07552053B2 Techniques for aiding speech-to-speech translation 失效
标题翻译：帮助语音到语音翻译的技术
公开(公告)号：US07552053B2
公开(公告)日：2009-06-23
申请号：US11208989
申请日：2005-08-22
申请人： Yuqing Gao , Hong-Kwang Jeff Kuo , Bowen Zhou
发明人： Yuqing Gao , Hong-Kwang Jeff Kuo , Bowen Zhou
IPC分类号： G10L13/00
CPC分类号： G06F17/2827 , G10L15/26
摘要： Techniques for assisting in translation are provided. A speech recognition hypothesis is obtained, corresponding to a source language utterance. Information retrieval is performed on a supplemental database, based on a situational context, to obtain at least one word string that is related to the source language utterance. The speech recognition hypothesis and the word string are then formatted for display to a user, to facilitate an appropriate selection by the user for translation.
摘要翻译：提供协助翻译的技巧。获得语音识别假设，对应于源语言发音。基于情境语境在辅助数据库上执行信息检索，以获得与源语言话语相关的至少一个字串。然后，将语音识别假设和字串格式化以供用户显示，以便于用户适当地选择用于翻译。

3. 发明申请

US20080228484A1 Techniques for Aiding Speech-to-Speech Translation 失效
标题翻译：语音翻译技巧
公开(公告)号：US20080228484A1
公开(公告)日：2008-09-18
申请号：US12125102
申请日：2008-05-22
申请人： Yuqing Gao , Hong-Kwang Jeff Kuo , Bowen Zhou
发明人： Yuqing Gao , Hong-Kwang Jeff Kuo , Bowen Zhou
IPC分类号： G10L15/00
CPC分类号： G06F17/2827 , G10L15/26
摘要： Techniques for assisting in translation are provided. A speech recognition hypothesis is obtained, corresponding to a source language utterance. Information retrieval is performed on a supplemental database, based on a situational context, to obtain at least one word string that is related to the source language utterance. The speech recognition hypothesis and the word string are then formatted for display to a user, to facilitate an appropriate selection by the user for translation.
摘要翻译：提供协助翻译的技巧。获得语音识别假设，对应于源语言发音。基于情境语境在辅助数据库上执行信息检索，以获得与源语言话语相关的至少一个字串。然后，将语音识别假设和字串格式化以供用户显示，以便于用户适当地选择用于翻译。

4. 发明申请

US20080059147A1 Methods and apparatus for context adaptation of speech-to-speech translation systems 有权
标题翻译：语音到语音翻译系统的语境适应方法和设备
公开(公告)号：US20080059147A1
公开(公告)日：2008-03-06
申请号：US11514604
申请日：2006-09-01
申请人： Mohamed A. Afify , Yuqing Gao , Liang Gu , Hong-Kwang Jeff Kuo , Bowen Zhou
发明人： Mohamed A. Afify , Yuqing Gao , Liang Gu , Hong-Kwang Jeff Kuo , Bowen Zhou
IPC分类号： G06F17/28
CPC分类号： G06Q30/02 , G10L15/22
摘要： A technique for context adaptation of a speech-to-speech translation system is provided. A plurality of sets of paralinguistic attribute values is obtained from a plurality of input signals. Each set of the plurality of sets of paralinguistic attribute values is extracted from a corresponding input signal of the plurality of input signals via a corresponding classifier of a plurality of classifiers. A final set of paralinguistic attribute values is generated for the plurality of input signals from the plurality of sets of paralinguistic attribute values. Performance of at least one of a speech recognition module, a translation module and a text-to-speech module of the speech-to-speech translation system is modified in accordance with the final set of paralinguistic attribute values for the plurality of input signals.
摘要翻译：提供了一种用于语音到语音翻译系统的上下文适配的技术。从多个输入信号获得多组协同属性值。通过多个分类器的对应的分类器从多个输入信号的对应的输入信号中提取多组合作属性值中的每一组。针对来自多组协同属性值的多个输入信号生成最终的一些paralinguistic属性值。语音转语音翻译系统的语音识别模块，翻译模块和文本到语音模块中的至少一个的性能根据用于多个输入信号的最终的协同属性值组进行修改。

5. 发明授权

US06925432B2 Method and apparatus using discriminative training in natural language call routing and document retrieval 失效
标题翻译：在自然语言呼叫路由和文档检索中使用区分性训练的方法和装置
公开(公告)号：US06925432B2
公开(公告)日：2005-08-02
申请号：US09748433
申请日：2000-12-26
申请人： Chin-Hui Lee , Hong-Kwang Jeff Kuo
发明人： Chin-Hui Lee , Hong-Kwang Jeff Kuo
IPC分类号： G06F17/30 , G06K9/62 , G10L15/18 , G06F17/27
CPC分类号： G06F17/30707 , G06K9/6217 , G10L15/1822 , G10L15/183
摘要： A method and apparatus for performing discriminative training of, for example, call routing training data (or, alternatively, other classification training data) which improves the subsequent classification of a user's natural language based requests. An initial scoring matrix is generated based on the training data and then the scoring matrix is adjusted so as to improve the discrimination between competing classes (e.g., destinations). In accordance with one illustrative embodiment of the present invention a Generalized Probabilistic Descent (GPD) algorithm may be advantageously employed to provide the improved discrimination. More specifically, the present invention provides a method and apparatus comprising steps or means for generating an initial scoring matrix comprising a numerical value for each of a set of n classes in association with each of a set of m features, the initial scoring matrix based on a set of training data and, for each element of said set of training data, based on a subset of said features which are comprised in the natural language text of said element of said set of training data and on one of said classes which has been identified therefor; and based on the initial scoring matrix and the set of training data, generating a discriminatively trained scoring matrix for use by said classification system by adjusting one or more of said numerical values such that a greater degree of discrimination exists between competing ones of said classes when said classification requests are performed, thereby resulting in a reduced classification error rate.
摘要翻译：用于执行例如呼叫路由训练数据（或替代地，其他分类训练数据）的辨别性训练的方法和装置，其改进了用户基于自然语言的请求的后续分类。基于训练数据生成初始评分矩阵，然后调整评分矩阵，以便改善竞争类（例如，目的地）之间的区分。根据本发明的一个说明性实施例，可以有利地采用广义概率下降（GPD）算法来提供改进的辨别。更具体地，本发明提供了一种方法和装置，包括用于生成初始评分矩阵的步骤或装置，该初始评分矩阵包括与一组m个特征中的每一个相关联的一组n个类中的每一个的数值，基于一组训练数据，并且对于所述一组训练数据的每个元素，基于所述特征的子集，所述子集包括在所述训练数据集合的所述元素的自然语言文本中，并且已经被确定; 并且基于所述初始评分矩阵和所述训练数据集合，通过调整所述数值中的一个或多个来产生用于由所述分类系统使用的鉴别训练的评分矩阵，使得当所述类别中的所述类别之间存在较大程度的歧视时，所述分类请求被执行，从而导致分类错误率降低。

6. 发明授权

US07453992B2 System and method for management of call data using a vector based model and relational data structure 有权
标题翻译：使用基于向量的模型和关系数据结构来管理呼叫数据的系统和方法
公开(公告)号：US07453992B2
公开(公告)日：2008-11-18
申请号：US11106169
申请日：2005-04-14
申请人： Cheng Wu , Andrzej Sakrajda , Hong-Kwang Jeff Kuo , Vaibhava Goel , David Lubensky
发明人： Cheng Wu , Andrzej Sakrajda , Hong-Kwang Jeff Kuo , Vaibhava Goel , David Lubensky
IPC分类号： H04M11/06
CPC分类号： H04M3/42221 , G06F17/2735 , G10L15/26 , H04M2201/40 , H04M2201/60
摘要： A system and method for representing call content in a searchable database includes transcribing call content to text. The call content is projected to vector space, by creating a vector by indexing the call based on the content and determining a similarity of the call to an atomic-class dictionary. The call is classified in a relational database in accordance with the vector.
摘要翻译：用于在可搜索数据库中表示呼叫内容的系统和方法包括将呼叫内容转录为文本。将呼叫内容投影到向量空间中，通过基于内容对呼叫建立索引并确定对原子类字典的调用的相似性来创建向量。该呼叫根据向量分类在关系数据库中。

7. 发明授权

US06418440B1 System and method for performing automated dynamic dialogue generation 有权
标题翻译：执行自动动态对话生成的系统和方法
公开(公告)号：US06418440B1
公开(公告)日：2002-07-09
申请号：US09334000
申请日：1999-06-15
申请人： Hong-Kwang Jeff Kuo , Chin-Hui Lee , Andrew Nason Pargellis
发明人： Hong-Kwang Jeff Kuo , Chin-Hui Lee , Andrew Nason Pargellis
IPC分类号： G06F1730
CPC分类号： G06F17/30654
摘要： A customized method or algorithm for holding an interactive dialogue session between a (human) user and a machine (hereinafter referred to simply as a “dialogue”) is generated, such that the resulting dialogue advantageously responds to the user's requests and wherein the system's capability (i.e., the dialogue) is automatically modified thereafter based on dynamically changing external databases. Specifically, a computer system acts as a Dialogue Generator agent by creating such a customized dialogue consisting of services that are organized and presented in a form that is a combination of the user's expectations and the system's capabilities. In particular, the system's capabilities advantageously include the information content of database/service providers (such as, for example, a distributed information source such as the World Wide Web or a corporate file system), and the Dialogue Generator advantageously modifies the dialogue periodically in response to this dynamically changing external environment.
摘要翻译：生成用于在（人）用户和机器之间保持交互式对话会话（以下简称为“对话”）的定制方法或算法，使得所得到的对话有利地响应于用户的请求，并且其中系统的能力（即，对话）此后将根据动态变化的外部数据库自动修改。具体来说，计算机系统作为对话生成器代理，通过创建由服务组成的定制对话，该对话组合和呈现为用户期望和系统功能的组合的形式。特别地，系统的能力有利地包括数据库/服务提供商（例如，诸如万维网或公司文件系统的分布式信息源）的信息内容，并且对话生成器有利地周期性地修改对话响应这种动态变化的外部环境。

8. 发明授权

US08509396B2 Automatic creation of complex conversational natural language call routing system for call centers 有权
标题翻译：自动创建呼叫中心的复杂对话自然语言呼叫路由系统
公开(公告)号：US08509396B2
公开(公告)日：2013-08-13
申请号：US12566369
申请日：2009-09-24
申请人： Ea-Ee Jan , Hong-Kwang Jeff Kuo , David M. Lubensky
发明人： Ea-Ee Jan , Hong-Kwang Jeff Kuo , David M. Lubensky
IPC分类号： H04M1/64
CPC分类号： G06F17/2785
摘要： A call routing system is created by receiving a set of initial target classes and a corresponding set of topic descriptions. Non-overlapping semantic tokens in the set of topic descriptions are identified. A set of clear target classes from the non-overlapping semantic tokens and the initial target classes is identified. Overlapping semantic tokens from the set of topic descriptions are identified. A set of vague classes is identified from the overlapping semantic tokens and the initial target classes. A set of disambiguation dialogues and a set of grammar prompts is generated according to the overlapping and non-overlapping semantic tokens. The call routing system is then created based on the set of clear target classes, the set of vague target classes, and the set of disambiguation dialogues.
摘要翻译：通过接收一组初始目标类别和一组相应的主题描述来创建呼叫路由系统。识别主题描述集中的非重叠语义令牌。识别来自非重叠语义令牌和初始目标类的一组清晰的目标类。确定主题描述集中的重叠语义令牌。从重叠的语义令牌和初始目标类中识别出一组模糊类。根据重叠和非重叠语义令牌生成一组消歧对话和一组语法提示。然后，基于一组明确的目标类，一组模糊的目标类和一组消歧对话来创建呼叫路由系统。

9. 发明申请

US20110069822A1 AUTOMATIC CREATION OF COMPLEX CONVERSATIONAL NATURAL LANGUAGE CALL ROUTING SYSTEM FOR CALL CENTERS 有权
标题翻译：自动创建呼叫中心的复杂对讲自然语言呼叫路由系统
公开(公告)号：US20110069822A1
公开(公告)日：2011-03-24
申请号：US12566369
申请日：2009-09-24
申请人： Ea-Ee Jan , Hong-Kwang Jeff Kuo , David M. Lubensky
发明人： Ea-Ee Jan , Hong-Kwang Jeff Kuo , David M. Lubensky
IPC分类号： H04M1/64 , G06F17/27 , G06F17/00
CPC分类号： G06F17/2785
摘要： A call routing system is created by receiving a set of initial target classes and a corresponding set of topic descriptions. Non-overlapping semantic tokens in the set of topic descriptions are identified. A set of clear target classes from the non-overlapping semantic tokens and the initial target classes is identified. Overlapping semantic tokens from the set of topic descriptions are identified. A set of vague classes is identified from the overlapping semantic tokens and the initial target classes. A set of disambiguation dialogues and a set of grammar prompts is generated according to the overlapping and non-overlapping semantic tokens. The call routing system is then created based on the set of clear target classes, the set of vague target classes, and the set of disambiguation dialogues.
摘要翻译：通过接收一组初始目标类别和一组相应的主题描述来创建呼叫路由系统。识别主题描述集中的非重叠语义令牌。识别来自非重叠语义令牌和初始目标类的一组清晰的目标类。确定主题描述集中的重叠语义令牌。从重叠的语义令牌和初始目标类中识别出一组模糊类。根据重叠和非重叠语义令牌生成一组消歧对话和一组语法提示。然后，基于一组明确的目标类，一组模糊的目标类和一组消歧对话来创建呼叫路由系统。

10. 发明申请

US20100204978A1 Techniques for Aiding Speech-to-Speech Translation 有权
标题翻译：语音翻译技巧
公开(公告)号：US20100204978A1
公开(公告)日：2010-08-12
申请号：US12760934
申请日：2010-04-15
申请人： Yuqing Gao , Hong-Kwang Jeff Kuo , Bowen Zhou
发明人： Yuqing Gao , Hong-Kwang Jeff Kuo , Bowen Zhou
IPC分类号： G06F17/28
CPC分类号： G06F17/2827 , G10L15/26
摘要： Techniques for assisting in translation are provided. A speech recognition hypothesis is obtained, corresponding to a source language utterance. Information retrieval is performed on a supplemental database, based on a situational context, to obtain at least one word string that is related to the source language utterance. The speech recognition hypothesis and the word string are then formatted for display to a user, to facilitate an appropriate selection by the user for translation.
摘要翻译：提供协助翻译的技巧。获得语音识别假设，对应于源语言发音。基于情境语境在辅助数据库上执行信息检索，以获得与源语言话语相关的至少一个字串。然后，将语音识别假设和字串格式化以供用户显示，以便于用户适当地选择用于翻译。

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