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1. 发明授权

US08930709B2 Method and apparatus for sequential authentication using one or more error rates characterizing each security challenge 有权
标题翻译：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
申请人： Jiri Navratil , Ryan L. Osborn , Jason W. Pelecanos , Ganesh N. Ramaswamy , Ran D. Zilca
发明人： Jiri Navratil , Ryan L. Osborn , Jason W. Pelecanos , Ganesh N. Ramaswamy , Ran D. Zilca
IPC分类号： G06F21/00 , H04L29/06 , G06F21/31
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。

2. 发明申请

US20080222722A1 Method and Apparatus for Sequential Authentication Using One or More Error Rates Characterizing Each Security Challenge 有权
标题翻译：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
申请人： Jiri Navratil , Ryan L. Osborn , Jason W. Pelecanos , Ganesh N. Ramaswamy , Ran D. Zilca
发明人： Jiri Navratil , Ryan L. Osborn , Jason W. Pelecanos , Ganesh N. Ramaswamy , Ran D. Zilca
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。

3. 发明授权

US07813927B2 Method and apparatus for training a text independent speaker recognition system using speech data with text labels 有权
标题翻译：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
申请人： Jiri Navratil , James H. Nealand , Jason W. Pelecanos , Ganesh N. Ramaswamy , Ran D. Zilca
发明人： Jiri Navratil , James H. Nealand , Jason W. Pelecanos , Ganesh N. Ramaswamy , Ran D. Zilca
IPC分类号： G10L17/00 , G10L15/00 , 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。

4. 发明授权

US07447633B2 Method and apparatus for training a text independent speaker recognition system using speech data with text labels 有权
标题翻译：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
申请人： Jiri Navratil , James H. Nealand , Jason W. Pelecanos , Ganesh N. Ramaswamy , Ran D. Zilca
发明人： Jiri Navratil , James H. Nealand , Jason W. Pelecanos , Ganesh N. Ramaswamy , Ran D. Zilca
IPC分类号： G10L17/00 , G10L15/00 , 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。

5. 发明申请

US20080235020A1 METHOD AND APPARATUS FOR TRAINING A TEXT INDEPENDENT SPEAKER RECOGNITION SYSTEM USING SPEECH DATA WITH TEXT LABELS 有权
标题翻译：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
申请人： Jiri Navratil , James H. Nealand , Jason W. Pelecanos , Ganesh N. Ramaswamy , Ran D. Zilca
发明人： Jiri Navratil , James H. Nealand , Jason W. Pelecanos , Ganesh N. Ramaswamy , Ran D. Zilca
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。

6. 发明授权

US08224649B2 Method and apparatus for remote command, control and diagnostics of systems using conversational or audio interface 有权
标题翻译：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
CPC分类号： G10L15/26 , G10L17/00
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。

7. 发明授权

US07496509B2 Methods and apparatus for statistical biometric model migration 有权
标题翻译：统计生物特征模型迁移的方法和装置
公开(公告)号：US07496509B2
公开(公告)日：2009-02-24
申请号：US10857029
申请日：2004-05-28
申请人： Jiri Navratil , Ganesh N. Ramaswamy , Ran D. Zilca
发明人： Jiri Navratil , Ganesh N. Ramaswamy , Ran D. Zilca
IPC分类号： G10L15/00 , G10L15/06
CPC分类号： G06K9/6226 , G10L17/04
摘要： In large-scale deployments of speaker recognition systems the potential for legacy problems increases as the evolving technology may require configuration changes in the system thus invalidating already existing user voice accounts. Unless the entire database of original speech waveform were stored, users need to reenroll to keep their accounts functional, which, however, may be expensive and commercially not acceptable. Model migration is defined as a conversion of obsolete models to new-configuration models without additional data and waveform requirements. The present disclosure investigates ways to achieve such a migration with minimum loss of system accuracy.
摘要翻译：在扬声器识别系统的大规模部署中，传统问题的潜力随着不断变化的技术可能需要系统中的配置更改而增加，从而使已经存在的用户语音帐户无效。除非存储了原始语音波形的整个数据库，否则用户需要重新注册以保持其帐户的功能，然而，这可能是昂贵的并且在商业上是不可接受的。模型迁移定义为过时模型转换为新配置模型，而不需要额外的数据和波形要求。本公开调查了以最小的系统精度损失实现这种迁移的方式。

8. 发明授权

US07249263B2 Method and system for user authentication and identification using behavioral and emotional association consistency 失效
标题翻译：使用行为和情感关联一致性的用户认证和识别的方法和系统
公开(公告)号：US07249263B2
公开(公告)日：2007-07-24
申请号：US10627938
申请日：2003-07-25
申请人： Upendra V. Chaudhari , Jiri Navratil , Ganesh N. Ramaswamy , Ran D. Zilca
发明人： Upendra V. Chaudhari , Jiri Navratil , Ganesh N. Ramaswamy , Ran D. Zilca
IPC分类号： H04L9/32 , H04L29/02
CPC分类号： G06F21/32
摘要： A system and method for determining and authenticating a person's identity by generating a behavioral profile for that person by presenting that person with various stimulus and measuring that person's response characteristics in an enrollment stage. That person's response profile, once generated is stored. When that user subsequently needs to access a secure resource, that user to be authorized is presented with the stimulus that was presented at the time of generating that person's behavioral profile and the person's responses are detected and compared to his/her behavioral profile. If a match is detected, that user is identified. The user's behavioral response may be in the form of signals as detected by sensor means that detects visual or audible emotional cues or as signals resulting from that person's behavior as detected by polygraph or EEG devices.
摘要翻译：一种系统和方法，用于通过向该人呈现各种刺激并且在登记阶段测量该人的响应特征来产生该人的行为概况来确定和认证一个人的身份。一旦生成，该人的响应配置文件被存储。当该用户随后需要访问安全资源时，被授权的用户被呈现出在生成该人的行为概况时呈现的刺激，并且检测到该人的响应并将其与他/她的行为概况进行比较。如果检测到匹配，则识别该用户。用户的行为响应可以是通过传感器装置检测到的信号的形式，该传感器装置检测视觉或听觉的情绪提示，或者是由测谎仪或EEG设备检测到的该人的行为产生的信号。

9. 发明授权

US07275030B2 Method and apparatus to compensate for fundamental frequency changes and artifacts and reduce sensitivity to pitch information in a frame-based speech processing system 有权
标题翻译：在基于帧的语音处理系统中补偿基频变化和伪影并降低对音调信息的灵敏度的方法和装置
公开(公告)号：US07275030B2
公开(公告)日：2007-09-25
申请号：US10601365
申请日：2003-06-23
申请人： Jiri Navratil , Ganesh N. Ramaswamy , Ran D. Zilca
发明人： Jiri Navratil , Ganesh N. Ramaswamy , Ran D. Zilca
IPC分类号： G10L11/04
CPC分类号： G10L15/07 , G10L15/02
摘要： A method, computer program product, and data processing system for compensating for fundamental frequency changes in a frame-based speech processing system is disclosed. In a preferred embodiment of the present invention, a frame of a voiced speech signal is processed by an inverse linear-predictive filter to obtain a residual signal that is indicative of the fundamental tone emitted by the speaker's vocal cords. A transformation function is applied to the frame to limit the frame to an integer number of pitch cycles. This transformed frame is used in conjunction with vocal tract parameters obtained from the original speech signal frame to construct a pitch-adjusted speech signal that can more easily be understood by speech- or speaker recognition software.
摘要翻译：公开了一种用于补偿基于帧的语音处理系统中的基频变化的方法，计算机程序产品和数据处理系统。在本发明的优选实施例中，有声语音信号的帧由逆线性预测滤波器处理，以获得指示由扬声器的声带发出的基音的残留信号。将变换函数应用于帧以将帧限制为整数个音调周期。该变换帧与从原始语音信号帧获得的声道参数结合使用，以构建音调调整的语音信号，其可以通过语音或说话人识别软件更容易理解。

10. 发明申请

US20080270132A1 METHOD AND SYSTEM TO IMPROVE SPEAKER VERIFICATION ACCURACY BY DETECTING REPEAT IMPOSTERS 审中-公开
标题翻译：通过检测重复实现来提高扬声器验证精度的方法和系统
公开(公告)号：US20080270132A1
公开(公告)日：2008-10-30
申请号：US12132013
申请日：2008-06-03
申请人： Jari Navratil , Ganesh N. Ramaswamy , Ran D. Zilca
发明人： Jari Navratil , Ganesh N. Ramaswamy , Ran D. Zilca
IPC分类号： G10L17/00
CPC分类号： G10L17/20 , G10L17/06
摘要： A system and method for identifying an individual includes collecting biometric information for an individual attempting to gain access to a system. The biometric information for the individual is scored against pre-trained imposter models. If a score is greater than a threshold, the individual as an imposter is identified as an imposter. Other systems and methods are also disclosed.
摘要翻译：用于识别个体的系统和方法包括收集试图访问系统的个体的生物特征信息。个人的生物特征信息对预先训练的冒牌者模型进行评分。如果一个分数大于一个门槛，个人作为冒名顶替者被确定为冒名顶替者。还公开了其它系统和方法。

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