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公开(公告)号：US20160163320A1
公开(公告)日：2016-06-09
申请号：US15012542
申请日：2016-02-01
Applicant: SRI INTERNATIONAL
Inventor： Nicolas Scheffer , Yun Lei , Douglas A. Bercow
CPC classification number: G10L17/24 , G06F17/3053 , G06F21/32 , G06F2221/2113 , G10L17/22 , H04L63/0861 , H04L63/10
Abstract: A system and method of verifying the identity of an authorized user in an authorized user group for enabling secure access to one or more services via a device includes receiving first voice information from a speaker through the device, calculating a confidence score based on a comparison of the first voice information with a stored voice model associated with the authorized user and specific to the authorized user, interpreting the first voice information as a specific service request, identifying a minimum confidence score for initiating the specific service request, determining whether or not the confidence score exceeds the minimum confidence score, and initiating the specific service request if the confidence score exceeds the minimum confidence score.
Abstract translation: 一种在授权用户组中验证授权用户的身份的系统和方法，用于通过设备实现对一个或多个服务的安全访问包括：通过设备从扬声器接收第一语音信息，基于比较 具有与授权用户相关联并且对授权用户特定的存储的语音模型的第一语音信息，将第一语音信息解释为特定服务请求，识别用于启动特定服务请求的最小置信度分数，确定信任度 得分超过最小置信度得分，并且如果置信度得分超过最小置信度得分，则启动特定服务请求。
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公开(公告)号：US09336781B2
公开(公告)日：2016-05-10
申请号：US14264916
申请日：2014-04-29
Applicant: SRI International
Inventor： Nicolas Scheffer , Yun Lei
CPC classification number: G10L17/14
Abstract: A content-aware speaker recognition system includes technologies to, among other things, analyze phonetic content of a speech sample, incorporate phonetic content of the speech sample into a speaker model, and use the phonetically-aware speaker model for speaker recognition.
Abstract translation: 内容感知扬声器识别系统包括用于分析语音样本的语音内容的技术，将语音样本的语音内容结合到扬声器模型中，并使用语音识别扬声器模型来进行说话者识别。
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Patent Agency Ranking
公开(公告)号：US20150112684A1
公开(公告)日：2015-04-23
申请号：US14264916
申请日：2014-04-29
Applicant: SRI International
Inventor： Nicolas Scheffer , Yun Lei
IPC: G10L17/14
CPC classification number: G10L17/14
Abstract: A content-aware speaker recognition system includes technologies to, among other things, analyze phonetic content of a speech sample, incorporate phonetic content of the speech sample into a speaker model, and use the phonetically-aware speaker model for speaker recognition.
Abstract translation: 内容感知扬声器识别系统包括用于分析语音样本的语音内容的技术，将语音样本的语音内容结合到扬声器模型中，并使用语音识别扬声器模型来进行说话者识别。
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公开(公告)号：US09564134B2
公开(公告)日：2017-02-07
申请号：US14868226
申请日：2015-09-28
Applicant: SRI International
Inventor： Elizabeth Shriberg , Luciana Ferrer , Andreas Stolcke , Martin Graciarena , Nicolas Scheffer
Abstract: The present invention relates to a method and apparatus for speaker-calibrated speaker detection. One embodiment of a method for generating a speaker model for use in detecting a speaker of interest includes identifying one or more speech features that best distinguish the speaker of interest from a plurality of impostor speakers and then incorporating the speech features in the speaker model.
Abstract translation: 本发明涉及用于扬声器校准的扬声器检测的方法和装置。 用于生成用于检测感兴趣的说话者的扬声器模型的方法的一个实施例包括识别最佳地将感兴趣的扬声器与多个假冒扬声器区分开，然后将该语音特征结合在扬声器模型中的一个或多个语音特征。
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公开(公告)号：US20160118049A1
公开(公告)日：2016-04-28
申请号：US14868226
申请日：2015-09-28
Applicant: SRI International
Inventor： Elizabeth Shriberg , Luciana Ferrer , Andreas Stolcke , Martin Graciarena , Nicolas Scheffer
Abstract: The present invention relates to a method and apparatus for speaker-calibrated speaker detection. One embodiment of a method for generating a speaker model for use in detecting a speaker of interest includes identifying one or more speech features that best distinguish the speaker of interest from a plurality of impostor speakers and then incorporating the speech features in the speaker model.
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公开(公告)号：US09489965B2
公开(公告)日：2016-11-08
申请号：US13838512
申请日：2013-03-15
Applicant: SRI International
Inventor： Nicolas Scheffer , Luciana Ferrer
Abstract: Characterizing an acoustic signal includes extracting a vector from the acoustic signal, where the vector contains information about the nuisance characteristics present in the acoustic signal, and computing a set of likelihoods of the vector for a plurality of classes that model a plurality of nuisance characteristics. Training a system to characterize an acoustic signal includes obtaining training data, the training data comprising a plurality of acoustic signals, where each of the plurality of acoustic signals is associated with one of a plurality of classes that indicates a presence of a specific type of nuisance characteristic, transforming each of the plurality of acoustic signals into a vector that summarizes information about the acoustic characteristics of the signal, to produce a plurality of vectors, and labeling each of the plurality of vectors with one of the plurality of classes.
Abstract translation: 表征声学信号包括从声学信号中提取矢量，其中矢量包含关于存在于声学信号中的扰动特性的信息，以及计算针对多个妨扰特性建模的多个等级的矢量的一组似然性。 训练用于表征声信号的系统包括获得训练数据，所述训练数据包括多个声信号，其中所述多个声信号中的每一个与所述多个类中的一个相关联，所述多个等级中的一个指示存在特定类型的滋扰 将所述多个声信号中的每一个变换为总结关于所述信号的声学特性的信息的矢量，以产生多个向量，并且使用所述多个类之一来标记所述多个向量中的每一个。
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公开(公告)号：US09443523B2
公开(公告)日：2016-09-13
申请号：US15012542
申请日：2016-02-01
Applicant: SRI INTERNATIONAL
Inventor： Nicolas Scheffer , Yun Lei , Douglas A. Bercow
CPC classification number: G10L17/24 , G06F17/3053 , G06F21/32 , G06F2221/2113 , G10L17/22 , H04L63/0861 , H04L63/10
Abstract: A system and method of verifying the identity of an authorized user in an authorized user group for enabling secure access to one or more services via a device includes receiving first voice information from a speaker through the device, calculating a confidence score based on a comparison of the first voice information with a stored voice model associated with the authorized user and specific to the authorized user, interpreting the first voice information as a specific service request, identifying a minimum confidence score for initiating the specific service request, determining whether or not the confidence score exceeds the minimum confidence score, and initiating the specific service request if the confidence score exceeds the minimum confidence score.
Abstract translation: 一种在授权用户组中验证授权用户的身份的系统和方法，用于通过设备实现对一个或多个服务的安全访问包括：通过设备从扬声器接收第一语音信息，基于比较 具有与授权用户相关联并且对授权用户特定的存储的语音模型的第一语音信息，将第一语音信息解释为特定服务请求，识别用于启动特定服务请求的最小置信度分数，确定信任度 得分超过最小置信度得分，并且如果置信度得分超过最小置信度得分，则启动特定服务请求。
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