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公开(公告)号：US09343063B2
公开(公告)日：2016-05-17
申请号：US13889717
申请日：2013-05-08
Applicant: AT&T Intellectual Property I, L.P.
Inventor： Nicholas Duffield
IPC: G10L15/00 , G10L15/22 , G10L15/187 , H04M3/493
CPC classification number: G10L15/18 , G06F3/167 , G10L15/00 , G10L15/187 , G10L15/22 , G10L15/30 , G10L17/14 , H04M3/4936 , H04M2203/2061 , H04M2203/255 , H04M2250/58
Abstract: Disclosed herein are systems, methods, and non-transitory computer-readable storage media for approximating an accent source. A system practicing the method collects data associated with customer specific services, generates country-specific or dialect-specific weights for each service in the customer specific services list, generates a summary weight based on an aggregation of the country-specific or dialect-specific weights, and sets an interactive voice response system language model based on the summary weight and the country-specific or dialect-specific weights. The interactive voice response system can also change the user interface based on the interactive voice response system language model. The interactive voice response system can tune a voice recognition algorithm based on the summary weight and the country-specific weights. The interactive voice response system can adjust phoneme matching in the language model based on a possibility that the speaker is using other languages.
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Patent Agency Ranking
公开(公告)号：US20130246072A1
公开(公告)日：2013-09-19
申请号：US13889717
申请日：2013-05-08
Applicant: AT&T INTELLECTUAL PROPERTY I, L.P.
Inventor： Nicholas Duffield
IPC: G10L15/22
CPC classification number: G10L15/18 , G06F3/167 , G10L15/00 , G10L15/187 , G10L15/22 , G10L15/30 , G10L17/14 , H04M3/4936 , H04M2203/2061 , H04M2203/255 , H04M2250/58
Abstract: Disclosed herein are systems, methods, and non-transitory computer-readable storage media for approximating an accent source. A system practicing the method collects data associated with customer specific services, generates country-specific or dialect-specific weights for each service in the customer specific services list, generates a summary weight based on an aggregation of the country-specific or dialect-specific weights, and sets an interactive voice response system language model based on the summary weight and the country-specific or dialect-specific weights. The interactive voice response system can also change the user interface based on the interactive voice response system language model. The interactive voice response system can tune a voice recognition algorithm based on the summary weight and the country-specific weights. The interactive voice response system can adjust phoneme matching in the language model based on a possibility that the speaker is using other languages.
Abstract translation: 本文公开了用于近似重音源的系统，方法和非暂时的计算机可读存储介质。 实施该方法的系统收集与客户特定服务相关联的数据，为客户特定服务列表中的每个服务生成特定于国家或方言的权重，基于国家特定或方言特定权重的聚合生成摘要权重 并且基于总体权重和针对具体国家或方言的权重设置交互式语音响应系统语言模型。 交互式语音响应系统还可以基于交互式语音响应系统语言模型改变用户界面。 交互式语音响应系统可以基于总体权重和国家特定权重调整语音识别算法。 交互式语音响应系统可以根据演讲者正在使用其他语言的可能性来调整语言模型中的音素匹配。
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公开(公告)号：US09680877B2
公开(公告)日：2017-06-13
申请号：US14969591
申请日：2015-12-15
Applicant: AT&T Intellectual Property I, L.P.
IPC: G06F15/16 , H04L29/06 , H04L12/26 , G06F21/55 , H04L12/703 , H04L12/721 , H04L12/801 , H04L12/851 , G06N5/02 , H04L12/24
CPC classification number: H04L63/20 , G06F21/552 , G06N5/025 , H04L41/00 , H04L41/0604 , H04L41/16 , H04L43/026 , H04L43/028 , H04L43/16 , H04L45/28 , H04L45/38 , H04L47/10 , H04L47/24 , H04L63/14 , H04L63/1416 , H04L63/1425 , H04L63/30
Abstract: A system to detect anomalies in internet protocol (IP) flows uses a set of machine-learning (ML) rules that can be applied in real time at the IP flow level. A communication network has a large number of routers equipped with flow monitoring capability. A flow collector collects flow data from the routers throughout the communication network and provides them to a flow classifier. At the same time, a limited number of locations in the network monitor data packets and generate alerts based on packet data properties. The packet alerts and the flow data are provided to a machine learning system that detects correlations between the packet-based alerts and the flow data to thereby generate a series of flow-level alerts. These rules are provided to the flow time classifier. Over time, the new packet alerts and flow data are used to provide updated rules generated by the machine learning system.
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4.发明申请公开(公告)号：US20160105462A1
公开(公告)日：2016-04-14
申请号：US14969591
申请日：2015-12-15
Applicant: AT&T Intellectual Property I, L.P.
IPC: H04L29/06 , G06N5/02 , H04L12/721 , H04L12/26 , H04L12/24
CPC classification number: H04L63/20 , G06F21/552 , G06N5/025 , H04L41/00 , H04L41/0604 , H04L41/16 , H04L43/026 , H04L43/028 , H04L43/16 , H04L45/28 , H04L45/38 , H04L47/10 , H04L47/24 , H04L63/14 , H04L63/1416 , H04L63/1425 , H04L63/30
Abstract: A system to detect anomalies in internet protocol (IP) flows uses a set of machine-learning (ML) rules that can be applied in real time at the IP flow level. A communication network has a large number of routers equipped with flow monitoring capability. A flow collector collects flow data from the routers throughout the communication network and provides them to a flow classifier. At the same time, a limited number of locations in the network monitor data packets and generate alerts based on packet data properties. The packet alerts and the flow data are provided to a machine learning system that detects correlations between the packet-based alerts and the flow data to thereby generate a series of flow-level alerts. These rules are provided to the flow time classifier. Over time, the new packet alerts and flow data are used to provide updated rules generated by the machine learning system.
Abstract translation: 检测互联网协议（IP）流中的异常的系统使用一组机器学习（ML）规则，可以在IP流级别实时应用。 通信网络具有大量具有流量监控功能的路由器。 集流器在通信网络中收集来自路由器的流数据，并将其提供给流分类器。 同时，网络中有限数量的位置监视数据包，并根据数据包数据属性生成警报。 分组警报和流数据被提供给机器学习系统，其检测基于分组的警报和流数据之间的相关性，从而生成一系列流级别警报。 这些规则提供给流时间分类器。 随着时间的推移，新的数据包警报和流数据用于提供机器学习系统生成的更新规则。
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5.发明授权公开(公告)号：US08811395B2
公开(公告)日：2014-08-19
申请号：US13740723
申请日：2013-01-14
Applicant: AT&T Intellectual Property I, L.P.
Inventor： Alexandre Gerber , Lee Breslau , Subhabrata Sen , Nicholas Duffield , Carsten Lund , Cheng Ee , Amogh Dhamdhere
Abstract: A system and method to use network flow records to generate information about changes in network routing and to understand the impact of these changes on network traffic. The inferences made can be determinative, if sufficient information is available. If sufficient information is not available to make determinative inferences, inferences may be made that narrow the range of possible changes that may have occurred to network traffic and the underlying network.
Abstract translation: 一种使用网络流记录生成有关网络路由更改的信息并了解这些更改对网络流量的影响的系统和方法。 如果有足够的信息可用，所做的推论可以是决定性的。 如果没有足够的信息可用于作出决定性推论，可以推测可能缩小网络流量和底层网络可能发生的可能变化的范围。
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公开(公告)号：US20130132608A1
公开(公告)日：2013-05-23
申请号：US13740723
申请日：2013-01-14
Applicant: At&T Intellectual Property I, L.P.
Inventor： Alexandre Gerber , Lee Breslau , Subhabrata Sen , Nicholas Duffield , Carsten Lund , Cheng EE , Amogh Dhamdhere
IPC: H04L12/56
Abstract: A system and method to use network flow records to generate information about changes in network routing and to understand the impact of these changes on network traffic. The inferences made can be determinative, if sufficient information is available. If sufficient information is not available to make determinative inferences, inferences may be made that narrow the range of possible changes that may have occurred to network traffic and the underlying network.
Abstract translation: 一种使用网络流记录生成有关网络路由更改的信息并了解这些更改对网络流量的影响的系统和方法。 如果有足够的信息可用，所做的推论可以是决定性的。 如果没有足够的信息可用于作出决定性推论，可以推测可能缩小网络流量和底层网络可能发生的可能变化的范围。
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