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1. 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。

2. 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。

3. 发明申请

US20050022034A1 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：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
IPC分类号： G06F11/30 , G06F21/00 , H04L9/32
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。

4. 发明申请

US20060212297A1 System and method using blind change detection for audio segmentation 审中-公开
标题翻译：用于音频分割的盲变检测的系统和方法
公开(公告)号：US20060212297A1
公开(公告)日：2006-09-21
申请号：US11206621
申请日：2005-08-18
申请人： Upendra Chaudhari , Mohamed Omar , Ganesh Ramaswamy
发明人： Upendra Chaudhari , Mohamed Omar , Ganesh Ramaswamy
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。

5. 发明申请

US20060036443A1 Policy analysis framework for conversational biometrics 有权
标题翻译：会话生物识别的政策分析框架
公开(公告)号：US20060036443A1
公开(公告)日：2006-02-16
申请号：US10917992
申请日：2004-08-13
申请人： Upendra Chaudhari , Ganesh Ramaswamy
发明人： Upendra Chaudhari , Ganesh Ramaswamy
IPC分类号： G10L11/00
CPC分类号： G10L17/22
摘要： The present invention describes a framework for the analytical and visual analysis and tuning of complex speaker verification systems guided by a policy finite state machine. The Receiver Operating Curve associated with the acoustic speaker recognition task is transformed into a multi-dimensional Receiver Operating Map (ROM), which results from a probabilistic analysis of the policy state machine. A Detection Cost Function (DCF) Map can be similarly generated. Results indicating that optimization over this surface (or the ROM) is an appropriate way to set thresholds are given.
摘要翻译：本发明描述了由政策有限状态机引导的复杂说话人验证系统的分析和视觉分析和调谐的框架。与声音扬声器识别任务相关联的接收器工作曲线被转换成多维接收器操作图（ROM），其由策略状态机的概率分析得出。可以类似地生成检测成本函数（DCF）映射。给出了表明该表面（或ROM）的优化是设置阈值的适当方法的结果。

6. 发明申请

US20080052072A1 SPEAKER RECOGNITION METHOD BASED ON STRUCTURED SPEAKER MODELING AND A SCORING TECHNIQUE 有权
标题翻译：基于结构化扬声器建模和分频技术的扬声器识别方法
公开(公告)号：US20080052072A1
公开(公告)日：2008-02-28
申请号：US11930970
申请日：2007-10-31
申请人： Upendra Chaudhari , Stephane Maes , Jiri Navratil
发明人： Upendra Chaudhari , Stephane Maes , Jiri Navratil
IPC分类号： G10L15/00
CPC分类号： G10L17/14 , G10L17/08
摘要： A technique for improved score calculation and normalization in a framework of recognition with phonetically structured speaker models. The technique involves determining, for each frame and each level of phonetic detail of a target speaker model, a non-interpolated likelihood value, and then resolving the at least one likelihood value to obtain a likelihood score.
摘要翻译：一种在语音结构化的扬声器模型识别框架中改进分数计算和归一化的技术。该技术涉及针对目标说话者模型的每个帧和每个级别的语音细节确定非内插似然值，然后解析该至少一个似然值以获得似然分数。

7. 发明申请

US20070265848A1 QUANTIZING FEATURE VECTORS IN DECISION-MAKING APPLICATIONS 失效
标题翻译：在决策应用中的量化特征向量
公开(公告)号：US20070265848A1
公开(公告)日：2007-11-15
申请号：US11383199
申请日：2006-05-13
申请人： Upendra Chaudhari , Hsin Tseng , Deepak Turaga , Olivier Verscheure
发明人： Upendra Chaudhari , Hsin Tseng , Deepak Turaga , Olivier Verscheure
IPC分类号： G10L15/00
CPC分类号： G10L17/06
摘要： A system, method and computer program product for classification of an analog electrical signal using statistical models of training data. A technique is described to quantize the analog electrical signal in a manner which maximizes the compression of the signal while simultaneously minimizing the diminution in the ability to classify the compressed signal. These goals are achieved by utilizing a quantizer designed to minimize the loss in a power of the log-likelihood ratio. A further technique is described to enhance the quantization process by optimally allocating a number of bits for each dimension of the quantized feature vector subject to a maximum number of bits available across all dimensions.
摘要翻译：一种使用训练数据的统计模型对模拟电信号进行分类的系统，方法和计算机程序产品。描述了一种技术来以使信号压缩最大化的方式对模拟电信号进行量化，同时最小化对压缩信号进行分类的能力的减小。这些目标通过利用设计用于最小化对数似然比的功率损失的量化器来实现。描述了另一种技术，以通过对经过所有维度可用的最大位数的量化特征向量的每个维度最佳地分配位数来增强量化过程。

8. 发明申请

US20050021335A1 Method of modeling single-enrollment classes in verification and identification tasks 失效
标题翻译：验证和识别任务中单个注册类的建模方法
公开(公告)号：US20050021335A1
公开(公告)日：2005-01-27
申请号：US10611336
申请日：2003-06-30
申请人： Upendra Chaudhari , Stephane Maes , Jiri Navratil
发明人： Upendra Chaudhari , Stephane Maes , Jiri Navratil
IPC分类号： G10L15/06 , G10L15/20 , G10L15/00
CPC分类号： G10L15/065 , G10L15/20
摘要： In automatic pattern recognition, in the context of patterns being observed either in the same or a new environment, e.g. a new acoustic channel, as compared to the one seen during the previous enrollment, an improvement wherein degradation of the system recognition accuracy caused by environment/channel mismatches is averted.
摘要翻译：在自动模式识别中，在相同或新的环境中观察到的模式的上下文中，例如，与之前的注册期间所看到的相比，新的声学通道减少了环境/通道不匹配引起的系统识别精度的降低。

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