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    Speech recognition using multiple language models
    2.
    发明授权
    Speech recognition using multiple language models 有权
    多语言模型的语音识别

    公开(公告)号：US08972260B2

    公开(公告)日：2015-03-03

    申请号：US13450861

    申请日：2012-04-19

    申请人： Fuliang Weng ,  Zhe Feng ,  Kui Xu ,  Lin Zhao

    发明人： Fuliang Weng ,  Zhe Feng ,  Kui Xu ,  Lin Zhao

    IPC分类号： G10L15/00 ,  G10L15/32 ,  G10L15/06 ,  G10L15/18 ,  G10L15/193 ,  G10L15/197 ,  G10L15/30

    CPC分类号： G10L15/32 ,  G10L15/063 ,  G10L15/18 ,  G10L15/193 ,  G10L15/197 ,  G10L15/30

    摘要： In accordance with one embodiment, a method of generating language models for speech recognition includes identifying a plurality of utterances in training data corresponding to speech, generating a frequency count of each utterance in the plurality of utterances, generating a high-frequency plurality of utterances from the plurality of utterances having a frequency that exceeds a predetermined frequency threshold, generating a low-frequency plurality of utterances from the plurality of utterances having a frequency that is below the predetermined frequency threshold, generating a grammar-based language model using the high-frequency plurality of utterances as training data, and generating a statistical language model using the low-frequency plurality of utterances as training data.

    摘要翻译： 根据一个实施例，一种生成用于语音识别的语言模型的方法包括：识别与语音相对应的训练数据中的多个话语，产生多个话语中的每个发声的频率计数，从多个话语中产生高频多个话语 所述多个话音具有超过预定频率阈值的频率，从具有低于所述预定频率阈值的频率的所述多个话语中产生低频多个话语，使用所述高频率生成基于语法的语言模型 多个话语作为训练数据，并且使用低频多个话语生成统计语言模型作为训练数据。

    SPEECH RECOGNITION USING MULTIPLE LANGUAGE MODELS
    3.
    发明申请
    SPEECH RECOGNITION USING MULTIPLE LANGUAGE MODELS 有权
    使用多种语言模型进行语音识别

    公开(公告)号：US20120271631A1

    公开(公告)日：2012-10-25

    申请号：US13450861

    申请日：2012-04-19

    申请人： Fuliang Weng ,  Zhe Feng ,  Kui Xu ,  Lin Zhao

    发明人： Fuliang Weng ,  Zhe Feng ,  Kui Xu ,  Lin Zhao

    IPC分类号： G10L15/06

    CPC分类号： G10L15/32 ,  G10L15/063 ,  G10L15/18 ,  G10L15/193 ,  G10L15/197 ,  G10L15/30

    摘要： In accordance with one embodiment, a method of generating language models for speech recognition includes identifying a plurality of utterances in training data corresponding to speech, generating a frequency count of each utterance in the plurality of utterances, generating a high-frequency plurality of utterances from the plurality of utterances having a frequency that exceeds a predetermined frequency threshold, generating a low-frequency plurality of utterances from the plurality of utterances having a frequency that is below the predetermined frequency threshold, generating a grammar-based language model using the high-frequency plurality of utterances as training data, and generating a statistical language model using the low-frequency plurality of utterances as training data.

    摘要翻译： 根据一个实施例，一种生成用于语音识别的语言模型的方法包括：识别与语音相对应的训练数据中的多个话语，产生多个话语中的每个发声的频率计数，从多个话语中产生高频多个话语 所述多个话音具有超过预定频率阈值的频率，从具有低于所述预定频率阈值的频率的所述多个话语中产生低频多个话语，使用所述高频率生成基于语法的语言模型 多个话语作为训练数据，并且使用低频多个话语生成统计语言模型作为训练数据。

    System and Method for Interacting with Live Agents in an Automated Call Center
    5.
    发明申请
    System and Method for Interacting with Live Agents in an Automated Call Center 有权
    在自动呼叫中心与实时代理交互的系统和方法

    公开(公告)号：US20100124325A1

    公开(公告)日：2010-05-20

    申请号：US12274258

    申请日：2008-11-19

    申请人： Fuliang Weng ,  Baoshi Yan ,  Zhongnan Shen ,  Zhe Feng ,  Kui Xu ,  Katrina Li

    发明人： Fuliang Weng ,  Baoshi Yan ,  Zhongnan Shen ,  Zhe Feng ,  Kui Xu ,  Katrina Li

    IPC分类号： H04M3/00 ,  G10L15/04

    CPC分类号： H04M3/5166 ,  G10L15/22 ,  H04M2201/40

    摘要： Embodiments of an interface system that enables a call center agent to access and intervene in an interaction between an automated call center system and a caller whenever necessary for complex application tasks is described. The system includes a user interface that presents the agent with one or more categories of information, including the conversation flow, obtained semantic information, the recognized utterances, and access to the utterance waveforms. This information is cross-linked and attached with a confidence level for better access and navigation within the dialog system for the generation of appropriate responses to the caller.

    摘要翻译： 描述了使得呼叫中心代理能够访问并介入自动呼叫中心系统和呼叫者之间的交互的接口系统的实施例，以便在需要复杂的应用任务时。 该系统包括用户界面，其向代理呈现一个或多个类别的信息，包括会话流，获得的语义信息，识别的话语和对话音波形的访问。 该信息是交叉链接的，并附有置信水平，以便在对话系统内更好地访问和导航以产生对呼叫者的适当响应。

    Method and system for improving speech recognition accuracy by use of geographic information
    7.
    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
    8.
    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 apparatus for progressively selecting features from a large feature space in statistical modeling
    9.
    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
    10.
    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。