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1. 发明申请

US20060294390A1 Method and apparatus for sequential authentication using one or more error rates characterizing each security challenge 审中-公开
公开(公告)号：US20060294390A1
公开(公告)日：2006-12-28
申请号：US11159722
申请日：2005-06-23
申请人： Jiri Navratil , Ryan Osborn , Jason Pelecanos , Ganesh Ramaswamy , Ran Zilca
发明人： Jiri Navratil , Ryan Osborn , Jason Pelecanos , Ganesh Ramaswamy , Ran Zilca
IPC分类号： H04L9/00
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.

2. 发明申请

US20060111905A1 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：US20060111905A1
公开(公告)日：2006-05-25
申请号：US10994743
申请日：2004-11-22
申请人： Jiri Navratil , James Nealand , Jason Pelecanos , Ganesh Ramaswamy , Ran Zilca
发明人： Jiri Navratil , James Nealand , Jason Pelecanos , Ganesh Ramaswamy , Ran Zilca
IPC分类号： G10L15/00
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。

3. 发明申请

US20050232470A1 Method and apparatus for determining the identity of a user by narrowing down from user groups 审中-公开
标题翻译：通过从用户组缩小来确定用户身份的方法和装置
公开(公告)号：US20050232470A1
公开(公告)日：2005-10-20
申请号：US10813709
申请日：2004-03-31
申请人： Upendra Chaudhari , Jiri Navratil , Jason Pelecanos , Ganesh Ramaswamy , Ran Zilca
发明人： Upendra Chaudhari , Jiri Navratil , Jason Pelecanos , Ganesh Ramaswamy , Ran Zilca
IPC分类号： G06K9/00 , G07C9/00 , G10L17/00
CPC分类号： G07C9/00158 , G10L17/06
摘要： Methods and arrangements for assessing the identity of an individual. Input is accepted from an individual, and at least one user group is attributed to the individual. This attributing is repeated until the identity of the individual is assessed.
摘要翻译：评估个人身份的方法和安排。个人接受输入，至少有一个用户组归因于个人。这种归因重复，直到评估个人的身份。

4. 发明申请

US20050273339A1 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：US20050273339A1
公开(公告)日：2005-12-08
申请号：US10858083
申请日：2004-06-02
申请人： Upendra Chaudhari , Ryan Osborn , Jason Pelecanos , Ganesh Ramaswamy , Ran Zilca
发明人： Upendra Chaudhari , Ryan Osborn , Jason Pelecanos , Ganesh Ramaswamy , Ran 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。

5. 发明申请

US20070256499A1 Machine and operating environment diagnostics, detection and profiling using sound 审中-公开
标题翻译：机器和操作环境诊断，使用声音的检测和分析
公开(公告)号：US20070256499A1
公开(公告)日：2007-11-08
申请号：US11408770
申请日：2006-04-21
申请人： Jason Pelecanos , Douglas Heintzman , Jiri Navratil , Ganesh Ramaswamy
发明人： Jason Pelecanos , Douglas Heintzman , Jiri Navratil , Ganesh Ramaswamy
IPC分类号： G01H13/00
CPC分类号： G01H1/00
摘要： A method, system and program storage device are provided for machine diagnostics, detection and profiling using pressure waves, the method including profiling known sources, acquiring pressure wave data, analyzing the acquired pressure wave data, and detecting if the analyzed pressure wave data matches a profiled known source; the system including a processor, a pressure wave transducer in signal communication with the processor, a pressure wave analysis unit in signal communication with the processor, and a source or threat detection unit in signal communication with the processor; and the program storage device including program steps for profiling known sources, acquiring pressure wave data, analyzing the acquired pressure wave data, and detecting if the analyzed pressure wave data matches a profiled known source.
摘要翻译：提供了一种方法，系统和程序存储装置，用于使用压力波的机器诊断，检测和轮廓，该方法包括对已知源进行分析，获取压力波数据，分析获取的压力波数据，以及检测分析的压力波数据是否匹配剖析已知来源; 所述系统包括处理器，与所述处理器进行信号通信的压力波换能器，与所述处理器进行信号通信的压力波分析单元，以及与所述处理器进行信号通信的源或威胁检测单元; 程序存储装置包括用于对已知源进行分析的程序步骤，获取压力波数据，分析获取的压力波数据，以及检测所分析的压力波数据是否与分析的已知来源相匹配。

6. 发明申请

US20070239441A1 System and method for addressing channel mismatch through class specific transforms 审中-公开
标题翻译：通过类别转换寻址信道不匹配的系统和方法
公开(公告)号：US20070239441A1
公开(公告)日：2007-10-11
申请号：US11391891
申请日：2006-03-29
申请人： Jiri Navratil , Jason Pelecanos , Ganesh Ramaswamy
发明人： Jiri Navratil , Jason Pelecanos , Ganesh Ramaswamy
IPC分类号： G10L19/14 , G10L21/00
CPC分类号： G10L17/20
摘要： A method and system for speaker recognition and identification includes transforming features of a speaker utterance in a first condition state to match a second condition state and provide a transformed utterance. A discriminative criterion is used to generate a transform that maps an utterance to obtain a computed result. The discriminative criterion is maximized over a plurality of speakers to obtain a best transform for recognizing speech and/or identifying a speaker under the second condition state. Speech recognition and speaker identity may be determined by employing the best transform for decoding speech to reduce channel mismatch.
摘要翻译：用于说话人识别和识别的方法和系统包括在第一状况状态下转换说话人话语的特征以匹配第二状态，并提供转换后的话语。使用歧视性标准来产生映射发音以获得计算结果的变换。歧视性标准在多个扬声器上最大化，以获得用于在第二状态下识别语音和/或识别扬声器的最佳变换。可以通过采用用于解码语音的最佳变换来减少信道不匹配来确定语音识别和扬声器身份。

7. 发明申请

US20080208581A1 Model Adaptation System and Method for Speaker Recognition 审中-公开
标题翻译：扬声器识别模型适应系统及方法
公开(公告)号：US20080208581A1
公开(公告)日：2008-08-28
申请号：US10581227
申请日：2004-12-03
申请人： Jason Pelecanos , Subramanian Sridharan , Robert Vogt
发明人： Jason Pelecanos , Subramanian Sridharan , Robert Vogt
IPC分类号： G10L17/00
CPC分类号： G10L17/04
摘要： A system and method for speaker recognition speaker modelling whereby prior speaker information is incorporated into the modelling process, utilising the maximum a posteriori (MAP) algorithm and extending it to contain prior Gaussian component correlation information. Firstly a background model (10) is estimated. Pooled acoustic reference data (11) relating to a specific demographic of speakers (population of interest) from a given total population is then trained via the Expectation Maximization (EM) algorithm (12) to produce a background model (13). The background model (13) is adapted utilising information from a plurality of reference speakers (21) in accordance with the Maximum A Posteriori (MAP) criterion (22). Utilizing MAP estimation technique, the reference speaker data and prior information obtained from the background model parameters are combined to produce a library of adapted speaker models, namely Gaussian Mixture Models (23).
摘要翻译：一种用于说话者识别扬声器建模的系统和方法，其中先前的说话者信息被并入到建模过程中，利用最大后验（MAP）算法并将其扩展为包含先前的高斯分量相关信息。首先估计一个背景模型（10）。然后通过期望最大化（EM）算法（12）训练与给定总人口的特定人群（兴趣人群）有关的汇集的声学参考数据（11）以产生背景模型（13）。背景模型（13）根据最大后验（最大后验）（MAP）标准（22）利用来自多个参考扬声器（21）的信息。利用MAP估计技术，将从背景模型参数获得的参考说话者数据和先验信息相结合，以产生适应的说话者模型库，即高斯混合模型（23）。

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