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    Method and system for improving speech recognition accuracy by use of geographic information
    2.
    发明授权
    Method and system for improving speech recognition accuracy by use of geographic information 有权
    通过使用地理信息提高语音识别精度的方法和系统

    公开(公告)号：US08510032B2

    公开(公告)日：2013-08-13

    申请号：US13567242

    申请日：2012-08-06

    申请人： Zhongnan Shen ,  Fuliang Weng ,  Zhe Feng

    发明人： Zhongnan Shen ,  Fuliang Weng ,  Zhe Feng

    IPC分类号： G01C21/00

    CPC分类号： G10L15/1815 ,  G10L2015/228

    摘要： A method for speech recognition includes providing a source of geographical information within a vehicle. The geographical information pertains to a current location of the vehicle, a planned travel route of the vehicle, a map displayed within the vehicle, and/or a gesture marked by a user on a map. Words spoken within the vehicle are recognized by use of a speech recognition module. The recognizing is dependent upon the geographical information.

    摘要翻译： 用于语音识别的方法包括在车辆内提供地理信息源。 地理信息涉及车辆的当前位置，车辆的计划行驶路线，车辆内显示的地图和/或用户在地图上标记的手势。 通过使用语音识别模块识别车内所说的话。 识别取决于地理信息。

    SPEAKER VERIFICATION IN A HEALTH MONITORING SYSTEM
    3.
    发明申请
    SPEAKER VERIFICATION IN A HEALTH MONITORING SYSTEM 有权
    卫生监测系统中的扬声器验证

    公开(公告)号：US20130173268A1

    公开(公告)日：2013-07-04

    申请号：US13340213

    申请日：2011-12-29

    申请人： Fuliang Weng ,  Taufiq Hasan ,  Zhe Feng

    发明人： Fuliang Weng ,  Taufiq Hasan ,  Zhe Feng

    IPC分类号： G10L15/00

    CPC分类号： G10L17/22 ,  G06F19/3418 ,  G10L17/10 ,  G10L17/24

    摘要： A method for verifying that a person is registered to use a telemedical device includes identifying an unprompted trigger phrase in words spoken by a person and received by the telemedical device. The telemedical device prompts the person to state a name of a registered user and optionally prompts the person to state health tips for the person. The telemedical device verifies that the person is the registered user using utterance data generated from the unprompted trigger phrase, name of the registered user, and health tips.

    摘要翻译： 一种用于验证人被注册以使用远程医疗设备的方法包括以由人员说出并由远程医疗设备接收的话来标识不起动的触发短语。 远程医疗设备提示该人员陈述注册用户的姓名，并且可选地提示该人员向该人员陈述健康提示。 远程医疗设备使用从不起动的触发短语，注册用户的名称和健康提示生成的话语数据来验证该人是注册用户。

    Method and system of optimal selection strategy for statistical classifications in dialog systems
    4.
    发明授权
    Method and system of optimal selection strategy for statistical classifications in dialog systems 有权
    对话系统统计分类的最优选择策略方法与系统

    公开(公告)号：US08050929B2

    公开(公告)日：2011-11-01

    申请号：US11845013

    申请日：2007-08-24

    申请人： Junling Hu ,  Fabrizio Morbini ,  Fuliang Weng ,  Xue Liu

    发明人： Junling Hu ,  Fabrizio Morbini ,  Fuliang Weng ,  Xue Liu

    IPC分类号： G10L21/00

    CPC分类号： G10L15/1822

    摘要： An optimal selection or decision strategy is described through an example that includes use in dialog systems. The selection strategy or method includes receiving multiple predictions and multiple probabilities. The received predictions predict the content of a received input and each of the probabilities corresponds to one of the predictions. In an example dialog system, the received input includes an utterance. The selection method includes dynamically selecting a set of predictions from the received predictions by generating ranked predictions. The ranked predictions are generated by ordering the plurality of predictions according to descending probability.

    摘要翻译： 通过包括在对话系统中使用的示例来描述最佳选择或决策策略。 选择策略或方法包括接收多个预测和多个概率。 所接收的预测预测接收到的输入的内容，并且每个概率对应于预测之一。 在示例对话系统中，所接收的输入包括话语。 选择方法包括通过产生排序的预测来从所接收的预测中动态地选择一组预测。 通过根据降序概率对多个预测进行排序来生成排序的预测。

    Method and apparatus for progressively selecting features from a large feature space in statistical modeling
    5.
    发明授权
    Method and apparatus for progressively selecting features from a large feature space in statistical modeling 有权
    在统计建模中从大特征空间逐步选择特征的方法和装置

    公开(公告)号：US08019594B2

    公开(公告)日：2011-09-13

    申请号：US11478990

    申请日：2006-06-30

    申请人： Fuliang Weng ,  Zhe Feng ,  Qi Zhang

    发明人： Fuliang Weng ,  Zhe Feng ,  Qi Zhang

    IPC分类号： G06F17/27

    CPC分类号： G06F17/277 ,  G06K9/6228 ,  G10L15/02 ,  G10L15/063

    摘要： Embodiments of a progressive feature selection method that selects features in multiple rounds are described. In one embodiment, the progressive feature selection method splits the feature space into tractable sub-spaces such that a feature selection algorithm can be performed on each sub-space. In a merge-split operation, the subset of features that the feature selection algorithm selects from the different sub-spaces are merged into subsequent sets of features. Instead of re-generating the mapping table for each subsequent set from scratch, a new mapping table from the previous round's tables is created by collecting those entries that correspond to the selected features. The feature selection method is then performed again on each of the subsequent feature sets and new features are selected from each of these feature sets. This feature selection-merge-split process is repeated on successively smaller numbers of feature sets until a single final set of features is selected.

    摘要翻译： 描述了选择多个轮中的特征的渐进特征选择方法的实施例。 在一个实施例中，逐行特征选择方法将特征空间分解成易处理的子空间，使得可以对每个子空间执行特征选择算法。 在合并分割操作中，特征选择算法从不同子空间中选择的特征子集被合并到随后的特征集中。 不是从头重新生成每个后续集合的映射表，而是通过收集与所选特征相对应的条目来创建来自前一轮的表的新映射表。 然后在每个后续特征集上再次执行特征选择方法，并且从这些特征集中的每一个中选择新特征。 在连续较小数量的特征集上重复该特征选择合并分割处理，直到选择单个最终特征集。

    Method and apparatus for generating features through logical and functional operations
    6.
    发明授权
    Method and apparatus for generating features through logical and functional operations 有权
    用于通过逻辑和功能操作产生特征的方法和装置

    公开(公告)号：US08019593B2

    公开(公告)日：2011-09-13

    申请号：US11478989

    申请日：2006-06-30

    申请人： Fuliang Weng ,  Zhe Feng ,  Qi Zhang

    发明人： Fuliang Weng ,  Zhe Feng ,  Qi Zhang

    IPC分类号： G06F17/27

    CPC分类号： G10L15/18 ,  G06K9/6228 ,  G06K9/6232 ,  G10L15/02

    摘要： Embodiments of a feature generation system and process for use in machine learning applications utilizing statistical modeling systems are described. In one embodiment, the feature generation process generates large feature spaces by combining features using logical, arithmetic and/or functional operations. A first set of features in an initial feature space are defined. Some or all of the first set of features are processed using one or more arithmetic, logic, user-defined combinatorial processes, or combinations thereof, to produce additional features. The additional features and at least some of the first set of features are combined to produce an expanded feature space. The expanded feature space is processed through a feature selection and optimization process to produce a model in a statistical modeling system.

    摘要翻译： 描述了使用统计建模系统的特征生成系统和用于机器学习应用的过程的实施例。 在一个实施例中，特征生成过程通过使用逻辑，算术和/或功能操作组合特征来生成大的特征空间。 定义初始特征空间中的第一组特征。 使用一个或多个算术，逻辑，用户定义的组合过程或其组合来处理第一组特征中的一些或全部，以产生附加特征。 附加特征和第一组特征中的至少一些被组合以产生扩展的特征空间。 扩展的特征空间通过特征选择和优化过程进行处理，以在统计建模系统中产生模型。

    System and Method for Generating Natural Language Phrases From User Utterances in Dialog Systems
    7.
    发明申请
    System and Method for Generating Natural Language Phrases From User Utterances in Dialog Systems 有权
    用于生成对话系统中用户话语的自然语言短语的系统和方法

    公开(公告)号：US20100057463A1

    公开(公告)日：2010-03-04

    申请号：US12199520

    申请日：2008-08-27

    申请人： Fuliang Weng ,  Laura Stoia ,  Junling Hu ,  Zhe Feng ,  Junkuo Cao

    发明人： Fuliang Weng ,  Laura Stoia ,  Junling Hu ,  Zhe Feng ,  Junkuo Cao

    IPC分类号： G10L15/18

    CPC分类号： G10L15/22 ,  G06F17/27 ,  G06F17/28

    摘要： Embodiments of a dialog system that employs a corpus-based approach to generate responses based on a given number of semantic constraint-value pairs are described. The system makes full use of the data from the user input to produce dialog system responses in combination with a template generator. The system primarily utilizes constraint values in order to realize efficiencies based on the more frequent tasks performed in real dialog systems although rhetorical or discourse aspects of the dialog could also be included in a similar way, that is, labeling the data with such information and performing a training process. The benefits of this system include higher quality user-aligned responses, broader coverage, faster response time, and shorter development cycles.

    摘要翻译： 描述了使用基于语料库的方法来基于给定数量的语义约束 - 值对来生成响应的对话系统的实施例。 系统充分利用用户输入的数据，与模板生成器结合产生对话系统响应。 该系统主要利用约束值来实现基于在真实对话系统中执行的更频繁任务的效率，尽管对话框的修辞或话语方面也可以以类似的方式包括在内，即用这样的信息标记数据并执行 一个培训过程。 该系统的优点包括更高质量的用户对应响应，更广泛的覆盖范围，更快的响应时间和更短的开发周期。

    System and Method for Automated Testing of Complicated Dialog Systems
    8.
    发明申请
    System and Method for Automated Testing of Complicated Dialog Systems 有权
    复杂对话系统自动测试的系统和方法

    公开(公告)号：US20090306995A1

    公开(公告)日：2009-12-10

    申请号：US12133123

    申请日：2008-06-04

    申请人： Fuliang Weng ,  Hua Ai

    发明人： Fuliang Weng ,  Hua Ai

    IPC分类号： G06Q10/00 ,  G10L15/26 ,  G10L15/00

    CPC分类号： G10L15/01 ,  G06Q10/103

    摘要： Embodiments of an automated dialog system testing method and component are described. This automated testing method and system supplements real human-based testing with simulated user input and incorporates a set of evaluation measures that focus on three basic aspects of task-oriented dialog systems, namely, understanding ability, efficiency, and the appropriateness of system actions. These measures are first applied on a corpus generated between a dialog system and a group of human users to demonstrate the validity of these measures with the human users' satisfaction levels. Results generally show that these measures are significantly correlated with these satisfaction levels. A regression model is then built to predict the user satisfaction scores using these evaluation measures. The regression model is applied on a simulated dialog corpus trained from the above real user corpus, and show that the user satisfaction score estimated from the simulated dialogs do not significantly differ from the real users' satisfaction scores. These evaluation measures can then be used to assess the system performance based on the estimated user satisfaction.

    摘要翻译： 描述了自动对话系统测试方法和组件的实施例。 这种自动测试方法和系统通过模拟用户输入来补充真正的基于人力的测试，并结合了一套关注面向任务的对话系统的三个基本方面的评估措施，即理解能力，效率和系统操作的适用性。 这些措施首先应用于对话系统和一组人类用户之间产生的语料库，以显示这些措施与人类用户满意度的有效性。 结果一般表明，这些措施与这些满意度水平显着相关。 然后建立回归模型，以使用这些评估措施来预测用户满意度评分。 回归模型应用于从上述真实用户语料库训练的模拟对话语料库，并显示从模拟对话框估计的用户满意度评分与实际用户满意度得分无显着差异。 这些评估措施可以用于根据估计的用户满意度来评估系统性能。