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11. 发明授权

US5774525A Method and apparatus utilizing dynamic questioning to provide secure access control 失效
标题翻译：利用动态询问提供安全访问控制的方法和设备
公开(公告)号：US5774525A
公开(公告)日：1998-06-30
申请号：US911259
申请日：1997-08-14
申请人： Dimitri Kanevsky , Marcel Mordechay Yung , Wlodek Wlodzimierz Zadrozny
发明人： Dimitri Kanevsky , Marcel Mordechay Yung , Wlodek Wlodzimierz Zadrozny
IPC分类号： G06F21/00 , H04M3/38 , H04M3/493 , H04M1/64
CPC分类号： G06F21/40 , G06F21/31 , H04M3/382 , H04M3/493 , G06F2221/2103
摘要： A method and corresponding apparatus utilizes questioning to provide secure access control including the steps of storing information in a database; generating at least one question based upon the information stored in the data base; communicating to the user the generated question(s); receiving a response associated with the question(s), interpreting the response to determine whether the response conforms to the information upon which is based the associated question(s); and outputting an authorization status indicating whether or not the user is authorized for access according to the determination. The question(s) concerns a relationship among portions of information contained in said data base. This feature is advantageous because it protects against an eavesdropper gaining access to the service or facility and provides the capability of generating a relatively large number of different questions from a small data base. Furthermore, the questions asked of the user may be based on dynamic data, which advantageously protects against eavesdroppers gaining access to the service or facility. In addition, the number and/or type of questions generated by the first module may correspond to a security level of the system. The security level may be set by the service or facility, or may be set the system control module according to user input.
摘要翻译：一种方法和相应的装置利用提问来提供安全的访问控制，包括将信息存储在数据库中的步骤; 基于存储在数据库中的信息生成至少一个问题; 向用户传达所产生的问题; 接收与所述问题相关联的响应，解释所述响应以确定所述响应是否符合基于相关问题的信息; 并且根据该确定输出指示用户是否被授权访问的授权状态。该问题涉及所述数据库中包含的部分信息之间的关系。该特征是有利的，因为它防止窃听者获得对服务或设施的访问，并且提供从小数据库生成相对大量不同问题的能力。此外，用户询问的问题可以基于动态数据，其有利地防止窃听者获得对服务或设施的访问。此外，第一模块产生的问题的数量和/或类型可以对应于系统的安全级别。安全级别可以由服务或设施设置，或者可以根据用户输入设置系统控制模块。

12. 发明授权

US08005781B2 Connection of value networks with information technology infrastructure and data via applications and support personnel 失效
标题翻译：通过应用和支持人员连接价值网络与信息技术基础设施和数据
公开(公告)号：US08005781B2
公开(公告)日：2011-08-23
申请号：US12135534
申请日：2008-06-09
申请人： Murthy V. Devarakonda , Nikolai Joukov , Manoj Kumar , Konstantinos Magoutis , Wlodek Wlodzimierz Zadrozny
发明人： Murthy V. Devarakonda , Nikolai Joukov , Manoj Kumar , Konstantinos Magoutis , Wlodek Wlodzimierz Zadrozny
IPC分类号： G06F17/00 , G06N5/02
CPC分类号： G06Q10/06
摘要： A method and a system for relating of a value network analysis of a mission to a knowledge base of dependencies of data objects, applications and information technology resources required for achieving of such mission, such method used for optimization of provisioning for information technology resources and for prioritizing of control of data and application security and integrity of such mission.
摘要翻译：将任务的价值网络分析与实现这种任务所需的数据对象，应用和信息技术资源的依赖关系的知识库相关联的方法和系统，用于优化信息技术资源的供应的方法和系统优先考虑数据的控制和应用程序安全性以及此类任务的完整性。

13. 发明授权

US06704394B1 System and method for accessing voice mail from a remote server 失效
标题翻译：用于从远程服务器访问语音邮件的系统和方法
公开(公告)号：US06704394B1
公开(公告)日：2004-03-09
申请号：US09047722
申请日：1998-03-25
申请人： Nandakishore Kambhatla , Maroun Touma , Catherine Gody Wolf , Wlodek Wlodzimierz Zadrozny
发明人： Nandakishore Kambhatla , Maroun Touma , Catherine Gody Wolf , Wlodek Wlodzimierz Zadrozny
IPC分类号： H04M164
CPC分类号： H04M3/533 , H04M2203/2016 , H04M2203/253 , H04M2203/4509
摘要： The invention is directed towards an automated system for extracting voice messages from a voice mail system and for providing unified access to voice mail and electronic mail or voice mail and the internet. For a given user, a voice mail remote access server connects to the user's voice mail system through a telephone or data network, and uses speech recognition and understanding to navigate through the prompts of the voice mail system and extract the user's voice mail. Depending upon the access mechanism preferred by the user, the voice messages are sent as e-mail messages with attachments (audio files) to the user or made accessible to the user's world wide web server or displayed to the user using a stand-alone voice mail player application.
摘要翻译：本发明涉及一种用于从语音邮件系统提取语音消息并用于提供对语音邮件和电子邮件或语音邮件和互联网的统一访问的自动化系统。对于给定用户，语音邮件远程访问服务器通过电话或数据网络连接到用户的语音邮件系统，并且使用语音识别和理解来导航语音邮件系统的提示并提取用户的语音邮件。取决于用户优选的访问机制，语音消息作为具有附件（音频文件）的电子邮件发送给用户或使得用户的万维网服务器可访问或者使用独立语音显示给用户邮件播放器应用程序。

14. 发明授权

US06418423B1 Method and apparatus for executing neural network applications on a network of embedded devices 有权
标题翻译：用于在嵌入式设备的网络上执行神经网络应用的方法和装置
公开(公告)号：US06418423B1
公开(公告)日：2002-07-09
申请号：US09239939
申请日：1999-01-29
申请人： Nandakishore Kambhatla , Dimitri Kanevsky , Wlodek Wlodzimierz Zadrozny
发明人： Nandakishore Kambhatla , Dimitri Kanevsky , Wlodek Wlodzimierz Zadrozny
IPC分类号： G06N302
CPC分类号： G06N3/10
摘要： Disclosed is a system and a method for combining the computational resources of numerous embedded devices to enable any of them to perform complex tasks like speech recognition or natural language understanding. A distinguished master device communicates with a network of embedded devices, and organizes them as the nodes of a neural network. To each node (embedded device) in the neural network, the master device sends the activation function for that node and the connectivity pattern for that node. The master device sends the inputs for the network to the distinguished input nodes of the network. During computation, each node computes the activation function of all of its inputs and sends its activation to all the nodes to which it needs to send output to. The outputs of the neural network are sent to the master device. Thus, the network of embedded devices can perform any computation (like speech recognition, natural language understanding, etc.) which can be mapped onto a neural network model.
摘要翻译：公开了一种用于组合许多嵌入式设备的计算资源的系统和方法，以使它们中的任何一个能够执行诸如语音识别或自然语言理解的复杂任务。杰出的主设备与嵌入式设备的网络通信，并将其组织为神经网络的节点。对于神经网络中的每个节点（嵌入式设备），主设备发送该节点的激活功能和该节点的连接模式。主设备将网络的输入发送到网络的不同输入节点。在计算期间，每个节点计算其所有输入的激活函数，并将其激活发送到需要发送输出的所有节点。神经网络的输出被发送到主设备。因此，嵌入式设备的网络可以执行可映射到神经网络模型的任何计算（如语音识别，自然语言理解等）。

15. 发明授权

US6009392A Training speech recognition by matching audio segment frequency of occurrence with frequency of words and letter combinations in a corpus 失效
标题翻译：通过将音频段的出现频率与语料库中的单词和字母组合的频率相匹配来训练语音识别
公开(公告)号：US6009392A
公开(公告)日：1999-12-28
申请号：US7478
申请日：1998-01-15
申请人： Dimitri Kanevsky , Wlodek Wlodzimierz Zadrozny
发明人： Dimitri Kanevsky , Wlodek Wlodzimierz Zadrozny
IPC分类号： G01L9/00
CPC分类号： G10L15/063 , G06K9/726 , G10L2015/0631
摘要： A method is provided which trains acoustic models in an automatic speech recognizer ("ASR") without explicitly matching decoded scripts with correct scripts from which acoustic training data is generated. In the method, audio data is input and segmented to produce audio segments. The audio segments are clustered into groups of clustered audio segments such that the clustered audio segments in each of the groups have similar characteristics. Also, the groups respectively form audio similarity classes. Then, audio segment probability distributions for the clustered audio segments in the audio similarity classes are calculated, and audio segment frequencies for the clustered audio segments are determined based on the audio segment probability distributions. The audio segment frequencies are matched to known audio segment frequencies for at least one of letters, combination of letters, and words to determine frequency matches, and a textual corpus of words is formed based on the frequency matches. Then, acoustic models of the automatic speech recognizer are trained based on the textual corpus. In addition, the method may receive and cluster video or biometric data, and match such data to the audio data to more accurately cluster the audio segments into the groups of audio segments. Also, an apparatus for performing the method is provided.
摘要翻译：提供了一种在自动语音识别器（“ASR”）中训练声学模型的方法，而没有将解码的脚本与产生声学训练数据的正确脚本明确匹配。在该方法中，音频数据被输入和分段以产生音频段。音频段被聚集成群集的音频段，使得每个组中的群集音频段具有相似的特征。此外，各组分别形成音频相似性类。然后，计算音频相似度类别中的聚集音频段的音频段概率分布，并且基于音频段概率分布确定用于聚集音频段的音频段频率。音频段频率与已知的音频段频率匹配用于字母，字母和字的组合中的至少一个以确定频率匹配，并且基于频率匹配形成文本语言语料库。然后，基于文本语料库训练自动语音识别器的声学模型。此外，该方法可以接收和聚集视频或生物特征数据，并且将这样的数据与音频数据相匹配，以便将音频段更精确地聚集到音频段组中。此外，提供了一种用于执行该方法的装置。

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