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1.发明授权Continuous adaptation in detection systems via self-tuning from target population subsets 有权通过目标群体子集的自调整，连续适应检测系统公开(公告)号：US07970614B2
公开(公告)日：2011-06-28
申请号：US11745745
申请日：2007-05-08
IPC分类号： G10L15/14
CPC分类号： G10L15/20
摘要： The present invention provides a system and method for treating distortion propagated though a detection system. The system includes a compensation module that compensates for untreated distortions propagating through the detection compensation system, a user model pool that comprises of a plurality of model sets, and a model selector that selects at least one model set from plurality of model sets in the user model pool. The compensation is accomplished by continually producing scores distributed according to a prescribed distribution for the at least one model set and mitigating the adverse effects of the scores being distorted and lying off a pre-set operating point.The method for treating distortion propagated though a detection system includes receiving a signal from a remote device, and compensating the signal for untreated distortions. The compensation includes selecting at least one relevant model set from a plurality of model sets, producing scores distributed according to a pre-described distribution for the at least one model set, and mitigating the adverse effect of the scores being distorted by rejecting a signal if it lies off a preset operating point.
摘要翻译： 本发明提供一种用于处理通过检测系统传播的失真的系统和方法。 该系统包括补偿模块，其补偿通过检测补偿系统传播的未经处理的失真，包括多个模型组的用户模型池以及从用户中的多个模型集中选择至少一个模型集合的模型选择器 模型池。 补偿是通过不断产生根据至少一个模型集合的规定分布分配的分数来实现的，并且减轻被扭曲的分数和摆脱预设操作点的不利影响。 用于处理通过检测系统传播的失真的方法包括从远程设备接收信号，以及补偿信号以用于未经处理的失真。 所述补偿包括从多个模型集中选择至少一个相关模型集合，产生根据所述至少一个模型集合的预先描述的分布分配的分数，以及通过拒绝信号来减轻所述分数失真的不利影响，如果 它摆脱了预设的操作点。
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2.发明授权Method and apparatus for training a text independent speaker recognition system using speech data with text labels 有权用于使用具有文本标签的语音数据来训练文本独立的说话者识别系统的方法和装置公开(公告)号：US07813927B2
公开(公告)日：2010-10-12
申请号：US12132770
申请日：2008-06-04
CPC分类号： G10L15/144 , G10L15/063
摘要： There is provided an apparatus for providing a Text Independent (TI) speaker recognition mode in a Text Dependent (TD) Hidden Markov Model (HMM) speaker recognition system and/or a Text Constrained (TC) HMM speaker recognition system. The apparatus includes a Gaussian Mixture Model (GMM) generator and a Gaussian weight normalizer. The GMM generator is for creating a GMM by pooling Gaussians from a plurality of HMM states. The Gaussian weight normalizer is for normalizing Gaussian weights with respect to the plurality of HMM states.
摘要翻译： 提供了一种用于在文本依赖（TD）隐马尔可夫模型（HMM）说话人识别系统和/或文本约束（TC）HMM说话者识别系统中提供文本独立（TI）说话者识别模式的装置。 该装置包括高斯混合模型（GMM）发生器和高斯权重归一化器。 GMM生成器用于通过从多个HMM状态汇集高斯来创建GMM。 高斯权重规范化器用于相对于多个HMM状态归一化高斯权重。
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3.发明授权Method and apparatus for sequential authentication using one or more error rates characterizing each security challenge 有权用于使用表征每个安全挑战的一个或多个错误率的顺序验证的方法和装置公开(公告)号：US08930709B2
公开(公告)日：2015-01-06
申请号：US12057470
申请日：2008-03-28
CPC分类号： H04L63/0861 , G06F21/31 , G06F2221/2103 , H04L63/104
摘要： Methods and apparatus are provided for sequential authentication of a user that employ one or more error rates characterizing each security challenge. According to one aspect of the invention, a user is challenged with at least one knowledge challenge to obtain an intermediate authentication result; and the user challenges continue until a cumulative authentication result satisfies one or more criteria. The intermediate authentication result is based, for example, on one or more of false accept and false reject error probabilities for each knowledge challenge. A false accept error probability describes a probability of a different user answering the knowledge challenge correctly. A false reject error probability describes a probability of a genuine user not answering the knowledge challenge correctly. The false accept and false reject error probabilities can be adapted based on field data or known information about a given challenge.
摘要翻译： 提供了用于对使用表征每个安全挑战的一个或多个错误率的用户的顺序认证的方法和装置。 根据本发明的一个方面，用户被挑战至少一个知识挑战以获得中间认证结果; 并且用户挑战持续，直到累积认证结果满足一个或多个标准。 中间认证结果例如基于每个知识挑战的一个或多个假接收和错误拒绝错误概率。 错误接受误差概率描述了不同用户正确回答知识挑战的概率。 错误拒绝错误概率描述了正确用户没有正确回答知识挑战的概率。 可以基于现场数据或关于给定挑战的已知信息来适应错误接受和错误拒绝错误概率。
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4.发明申请Method and Apparatus for Sequential Authentication Using One or More Error Rates Characterizing Each Security Challenge 有权用于使用表征每个安全挑战的一个或多个错误率的顺序验证的方法和装置公开(公告)号：US20080222722A1
公开(公告)日：2008-09-11
申请号：US12057470
申请日：2008-03-28
IPC分类号： H04L9/32
CPC分类号： H04L63/0861 , G06F21/31 , G06F2221/2103 , H04L63/104
摘要： Methods and apparatus are provided for sequential authentication of a user that employ one or mole error rates characterizing each security challenge. According to one aspect of the invention, a user is challenged with at least one knowledge challenge to obtain an intermediate authentication result; and the user challenges continue until a cumulative authentication result satisfies one or more criteria. The intermediate authentication result is based, for example, on one or more of false accept and false reject error probabilities for each knowledge challenge. A false accept error probability describes a probability of a different user answering the knowledge challenge correctly. A false reject error probability describes a probability of a genuine user not answering the knowledge challenge correctly. The false accept and false reject error probabilities can be adapted based on field data or known information about a given challenge.
摘要翻译： 提供了用于对使用表征每个安全挑战的一个或多个误差率的用户的顺序验证的方法和装置。 根据本发明的一个方面，用户被挑战至少一个知识挑战以获得中间认证结果; 并且用户挑战持续，直到累积认证结果满足一个或多个标准。 中间认证结果例如基于每个知识挑战的一个或多个假接收和错误拒绝错误概率。 错误接受误差概率描述了不同用户正确回答知识挑战的概率。 错误拒绝错误概率描述了正确用户没有正确回答知识挑战的概率。 可以基于现场数据或关于给定挑战的已知信息来适应错误接受和错误拒绝错误概率。
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5.发明授权Method and apparatus for training a text independent speaker recognition system using speech data with text labels 有权用于使用具有文本标签的语音数据来训练文本独立的说话者识别系统的方法和装置公开(公告)号：US07447633B2
公开(公告)日：2008-11-04
申请号：US10994743
申请日：2004-11-22
CPC分类号： G10L15/144 , G10L15/063
摘要： There is provided an apparatus for providing a Text Independent (TI) speaker recognition mode in a Text Dependent (TD) Hidden Markov Model (HMM) speaker recognition system and/or a Text Constrained (TC) HMM speaker recognition system. The apparatus includes a Gaussian Mixture Model (GMM) generator and a Gaussian weight normalizer. The GMM generator is for creating a GMM by pooling Gaussians from a plurality of HMM states. The Gaussian weight normalizer is for normalizing Gaussian weights with respect to the plurality of HMM states.
摘要翻译： 提供了一种用于在文本依赖（TD）隐马尔可夫模型（HMM）说话人识别系统和/或文本约束（TC）HMM说话者识别系统中提供文本独立（TI）说话者识别模式的装置。 该装置包括高斯混合模型（GMM）发生器和高斯权重归一化器。 GMM生成器用于通过从多个HMM状态汇集高斯来创建GMM。 高斯权重规范化器用于相对于多个HMM状态归一化高斯权重。
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6.发明申请METHOD AND APPARATUS FOR TRAINING A TEXT INDEPENDENT SPEAKER RECOGNITION SYSTEM USING SPEECH DATA WITH TEXT LABELS 有权使用语音数据与文本标签训练文本独立的扬声器识别系统的方法和装置公开(公告)号：US20080235020A1
公开(公告)日：2008-09-25
申请号：US12132770
申请日：2008-06-04
IPC分类号： G10L15/14
CPC分类号： G10L15/144 , G10L15/063
摘要： There is provided an apparatus for providing a Text Independent (TI) speaker recognition mode in a Text Dependent (TD) Hidden Markov Model (HMM) speaker recognition system and/or a Text Constrained (TC) HMM speaker recognition system. The apparatus includes a Gaussian Mixture Model (GMM) generator and a Gaussian weight normalizer. The GMM generator is for creating a GMM by pooling Gaussians from a plurality of HMM states. The Gaussian weight normalizer is for normalizing Gaussian weights with respect to the plurality of HMM states.
摘要翻译： 提供了一种用于在文本依赖（TD）隐马尔可夫模型（HMM）说话人识别系统和/或文本约束（TC）HMM说话者识别系统中提供文本独立（TI）说话者识别模式的装置。 该装置包括高斯混合模型（GMM）发生器和高斯权重归一化器。 GMM生成器用于通过从多个HMM状态汇集高斯来创建GMM。 高斯权重规范化器用于相对于多个HMM状态归一化高斯权重。
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7.发明申请CONTINUOUS ADAPTATION IN DETECTION SYSTEMS VIA SELF-TUNING FROM TARGET POPULATION SUBSETS 有权通过目标人口群体自我调查，连续适应检测系统公开(公告)号：US20080281596A1
公开(公告)日：2008-11-13
申请号：US11745745
申请日：2007-05-08
IPC分类号： G10L15/00
CPC分类号： G10L15/20
摘要： The present invention provides a system and method for treating distortion propagated though a detection system. The system includes a compensation module that compensates for untreated distortions propagating through the detection compensation system, a user model pool that comprises of a plurality of model sets, and a model selector that selects at least one model set from plurality of model sets in the user model pool. The compensation is accomplished by continually producing scores distributed according to a prescribed distribution for the at least one model set and mitigating the adverse effects of the scores being distorted and lying off a pre-set operating point.The method for treating distortion propagated though a detection system includes receiving a signal from a remote device, and compensating the signal for untreated distortions. The compensation includes selecting at least one relevant model set from a plurality of model sets, producing scores distributed according to a pre-described distribution for the at least one model set, and mitigating the adverse effect of the scores being distorted by rejecting a signal if it lies off a preset operating point.
摘要翻译： 本发明提供一种用于处理通过检测系统传播的失真的系统和方法。 该系统包括补偿模块，其补偿通过检测补偿系统传播的未经处理的失真，包括多个模型组的用户模型池以及从用户中的多个模型集中选择至少一个模型集合的模型选择器 模型池。 补偿是通过不断产生根据至少一个模型集合的规定分布分配的分数来实现的，并且减轻被扭曲的分数和摆脱预设操作点的不利影响。 用于处理通过检测系统传播的失真的方法包括从远程设备接收信号，以及补偿信号以用于未经处理的失真。 所述补偿包括从多个模型集中选择至少一个相关模型集合，产生根据所述至少一个模型集合的预先描述的分布分配的分数，以及通过拒绝信号来减轻所述分数失真的不利影响，如果 它摆脱了预设的操作点。
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8.发明授权Method and apparatus for remote command, control and diagnostics of systems using conversational or audio interface 有权用于使用对话或音频接口的系统的远程命令，控制和诊断的方法和装置公开(公告)号：US08224649B2
公开(公告)日：2012-07-17
申请号：US10858083
申请日：2004-06-02
申请人： Upendra V. Chaudhari , Ryan L. Osborn , Jason W. Pelecanos , Ganesh N. Ramaswamy , Ran D. Zilca
发明人： Upendra V. Chaudhari , Ryan L. Osborn , Jason W. Pelecanos , Ganesh N. Ramaswamy , Ran D. Zilca
IPC分类号： G10L11/00
摘要： A method and apparatus for remote access to a target application is disclosed where a system administrator may establish telephonic contact with an interactive voice response system and obtain access to the target application by speech communication. The interactive response system may authenticate the system administrator by implementing various measures including biometric measures. Once access is granted, the interactive response system may broker a communication between the target application using text/data and the system administrator using natural language.
摘要翻译： 公开了用于远程访问目标应用的方法和装置，其中系统管理员可以与交互式语音响应系统建立电话联系，并通过语音通信获得对目标应用的访问。 交互响应系统可以通过实施包括生物特征测量在内的各种措施来认证系统管理员。 一旦获得访问权限，交互式响应系统就可以使用文本/数据和使用自然语言的系统管理员之间进行通信。
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公开(公告)号：US08589167B2
公开(公告)日：2013-11-19
申请号：US13105857
申请日：2011-05-11
IPC分类号： G10L15/02
摘要： A signal representative of an unpredictable audio stimulus is provided to a putative live speaker within a putative live recording environment. A second signal purportedly emanating from the putative live speaker and/or the environment is received. This second signal is examined for influence of the unpredictable audio stimulus on the putative live speaker and/or the putative live recording environment. The examining includes at least one of audio feedback analysis, Lombard analysis, and evoked otoacoustic response analysis. Based on the examining, a determination is made as to whether the putative live speaker is an actual live speaker and/or whether the putative live recording environment is an actual live recording environment.
摘要翻译： 将代表无法预测的音频刺激的信号提供给推定的现场录音环境中的推定的现场演讲者。 据称是从推定的现场演讲者和/或环境中发出的第二个信号。 对第二个信号进行检查，以确定不可预知的音频刺激对推定的现场演讲者和/或推定的现场录制环境的影响。 检查包括音频反馈分析，伦巴第分析和诱发耳声响应分析中的至少一个。 根据审查，确定推定的现场演讲者是否是实际的现场演讲者，和/或推定的现场录制环境是否是实际的录音环境。
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10.发明授权Application of speech and speaker recognition tools to fault detection in electrical circuits 失效语音和扬声器识别工具在电路故障检测中的应用公开(公告)号：US08041571B2
公开(公告)日：2011-10-18
申请号：US11620173
申请日：2007-01-05
CPC分类号： G10L15/26
摘要： A method and apparatus detect and localize electric faults in electrical power grids and circuit. High impedance faults are detected by analyzing data from remote sensor units deployed over the network using the algorithms of speech and speaker analysis software. This is accomplished by converting the voltage and/or current waveform readouts from the sensors into a digital form which is then transmitted to a computer located either near the sensors or at an operations center. The digitized data is converted by a dedicated software or software/hardware interface to a format accepted by a reliable and stable software solution, such as speech or speaker recognition software. The speech or speaker recognition software must be “trained” to recognize various signal patterns that either indicate or not the occurrence of a fault. The readout of the speech or speaker recognition software, if indicating a fault, is transmitted to a central processor and displayed to provide information on the most likely type of fault. Automatic or human decision is then implemented based on the generated information.
摘要翻译： 一种方法和装置，检测和定位电力电网和电路中的电气故障。 通过使用语音和扬声器分析软件的算法分析通过网络部署的远程传感器单元的数据来检测高阻抗故障。 这是通过将来自传感器的电压和/或电流波形转换成数字形式来完成的，然后将其传输到位于传感器附近或操作中心的计算机。 数字化数据由专用软件或软件/硬件接口转换为由可靠和稳定的软件解决方案接受的格式，如语音或扬声器识别软件。 语音或扬声器识别软件必须经过“训练”以识别指示或不发生故障的各种信号模式。 语音或扬声器识别软件的读出（如果指示故障）被发送到中央处理器并显示以提供关于最可能类型的故障的信息。 然后基于生成的信息实现自动或人为决定。
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