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1.发明申请Machine and operating environment diagnostics, detection and profiling using sound 审中-公开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
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。
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2.发明申请公开(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.
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3.发明申请System and method for addressing channel mismatch through class specific transforms 审中-公开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
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。
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4.发明申请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：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。
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5.发明申请Method and apparatus for determining the identity of a user by narrowing down from user groups 审中-公开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
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。
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6.发明申请Method and system for user authentication and identification using behavioral and emotional association consistency 失效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：US20050022034A1
公开(公告)日：2005-01-27
申请号：US10627938
申请日：2003-07-25
申请人： Upendra Chaudhari , Jiri Navratil , Ganesh Ramaswamy , Ran Zilca
发明人： Upendra Chaudhari , Jiri Navratil , Ganesh Ramaswamy , Ran Zilca
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。
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公开(公告)号：US20050267752A1
公开(公告)日：2005-12-01
申请号：US10857029
申请日：2004-05-28
申请人： Jiri Navratil , Ganesh Ramaswamy , Ran Zilca
发明人： Jiri Navratil , Ganesh Ramaswamy , Ran Zilca
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。
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8.发明申请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：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
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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9.发明申请Method and system to improve speaker verification accuracy by detecting repeat imposters 审中-公开通过检测重复骗子来提高扬声器验证精度的方法和系统公开(公告)号：US20070038460A1
公开(公告)日：2007-02-15
申请号：US11199652
申请日：2005-08-09
申请人： Jari Navratil , Ganesh Ramaswamy , Ran Zilca
发明人： Jari Navratil , Ganesh Ramaswamy , Ran Zilca
IPC分类号： G10L11/00
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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10.发明申请公开(公告)号：US20060212297A1
公开(公告)日：2006-09-21
申请号：US11206621
申请日：2005-08-18
IPC分类号： G10L11/00
CPC分类号： G10L25/48
摘要： A system, method and computer program product for performing blind change detection audio segmentation that combines hypothesized boundaries from several segmentation algorithms to achieve the final segmentation of the audio stream. Automatic segmentation of the audio streams according to the system and method of the invention may be used for many applications like speech recognition, speaker recognition, audio data mining, online audio indexing, and information retrieval systems, where the actual boundaries of the audio segments are required.
摘要翻译： 一种用于执行盲变检测音频分段的系统，方法和计算机程序产品，其组合来自若干分段算法的假设边界以实现音频流的最终分段。 根据本发明的系统和方法的音频流的自动分割可以用于诸如语音识别，说话人识别，音频数据挖掘，在线音频索引和信息检索系统之类的许多应用，其中音频段的实际边界是 需要。
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