公开(公告)号：US20160150414A1

公开(公告)日：2016-05-26

申请号：US14550089

申请日：2014-11-21

Applicant: Marchex, Inc.

Inventor： Jason Flaks ,  Ziad Ismail

IPC: H04W12/12 ,  H04M15/00 ,  H04M3/22

CPC classification number: H04W12/12 ,  H04L63/0236 ,  H04L63/1425 ,  H04M3/436 ,  H04M15/47 ,  H04M15/58 ,  H04M15/8083 ,  H04M2201/18 ,  H04M2203/556 ,  H04W12/08

Abstract: A system and method for monitoring telephone calls to detect fraudulent activity and take corrective action is described. The system receives a group of telephone calls having associated call characteristics and analyzes the group of telephone calls to identify and store a first set of distributions of call characteristics that are indicative of normal activity, fraudulent activity, or indeterminate activity. The system receives one or more subsequent telephone calls to be analyzed. The system analyzes the received one or more telephone calls to identify a second set of distributions of call characteristics associated with the received telephone call. The system then compares the second set of distributions of call characteristics to the stored first set of distributions of call characteristics to assess a probability that the one or more received telephone calls represents normal, fraudulent, or indeterminate activity. If the assessed probability of fraudulent activity exceeds a threshold, the system takes appropriate corrective action, such a flagging the fraudulent call or withholding a financial incentive associated with the fraudulent call.

Abstract translation: 描述用于监视电话呼叫以检测欺诈活动并采取纠正措施的系统和方法。 该系统接收一组具有相关呼叫特征的电话呼叫并分析该组电话以识别和存储表示正常活动，欺诈活动或不确定活动的呼叫特性分布的第一组。 该系统接收待分析的一个或多个后续电话呼叫。 系统分析所接收的一个或多个电话呼叫以识别与所接收的电话呼叫相关联的呼叫特性的第二组分配。 然后，系统将呼叫特性的第二组分配与存储的第一呼叫特征分布集合进行比较，以评估一个或多个接收到的电话呼叫代表正常，欺诈或不确定活动的概率。 如果欺诈活动的评估概率超过阈值，则系统采取适当的纠正措施，例如标示欺诈性呼叫或扣除与欺诈性呼叫相关的经济激励。

公开(公告)号：US09263038B2

公开(公告)日：2016-02-16

申请号：US14045118

申请日：2013-10-03

Applicant: Marchex, Inc.

Inventor： Jason Flaks ,  Ziad Ismail ,  Chris Kolbegger

IPC: G06F17/27 ,  G06F17/28 ,  G06F17/20 ,  G10L15/04 ,  G10L15/00 ,  G10L15/14 ,  G10L21/00 ,  G10L15/18 ,  G10L15/08

CPC classification number: G10L15/193 ,  G10L15/142 ,  G10L15/16 ,  G10L15/1822 ,  G10L2015/088 ,  H04M3/5175 ,  H04M2201/18 ,  H04M2201/40 ,  H04M2201/405 ,  H04M2203/6009 ,  H04M2242/12

Abstract: A facility and method for analyzing and classifying calls without transcription via keyword spotting is disclosed. The facility uses a group of calls having known outcomes to generate one or more domain- or entity-specific grammars containing keywords and related information that are indicative of particular outcome. The facility monitors telephone calls by determining the domain or entity associated with the call, loading the appropriate grammar or grammars associated with the determined domain or entity, and tracking keywords contained in the loaded grammar or grammars that are spoken during the monitored call, along with additional information. The facility performs a statistical analysis on the tracked keywords and additional information to determine a classification for the monitored telephone call.

公开(公告)号：US09232052B1

公开(公告)日：2016-01-05

申请号：US14550203

申请日：2014-11-21

Applicant: Marchex, Inc.

Inventor： Jason Flaks ,  Ziad Ismail

IPC: H04M15/00 ,  H04M3/38

CPC classification number: H04M15/47 ,  G10L15/00 ,  G10L17/26 ,  H04L63/1425 ,  H04M3/2281 ,  H04M3/38 ,  H04M2203/6027

Abstract: A system and method for monitoring telephone calls to detect fraudulent activity and take corrective action is described. The system receives a first group of telephone calls having associated voice characteristics and analyzes the first group of telephone calls to identify and store a first set of distributions of voice characteristics that are indicative of normal activity, fraudulent activity, or indeterminate activity. The system receives a second group of telephone calls to be analyzed. The system analyzes the second group of telephone calls to identify a second set of distributions of voice characteristics associated with the second group of telephone calls. The system then compares the second set of distributions of voice characteristics to the stored first set of distributions of voice characteristics to assess a probability that one or more telephone calls in the second group of telephone calls represents normal, fraudulent, or indeterminate activity. If the assessed probability of fraudulent activity exceeds a threshold, the system takes appropriate corrective action, such a flagging the fraudulent call or withholding a financial incentive associated with the fraudulent call.

Abstract translation: 描述用于监视电话呼叫以检测欺诈活动并采取纠正措施的系统和方法。 该系统接收具有相关语音特征的第一组电话呼叫，并分析第一组电话呼叫以识别和存储指示正常活动，欺诈活动或不确定活动的语音特征分布的第一组。 该系统接收要分析的第二组电话呼叫。 系统分析第二组电话呼叫，以识别与第二组电话呼叫相关联的语音特征的第二组分布。 然后，系统将语音特征的第二组分布与存储的第一组语音特征分布进行比较，以评估第二组电话中的一个或多个电话呼叫代表正常，欺诈或不确定的活动的概率。 如果欺诈活动的评估概率超过阈值，则系统采取适当的纠正措施，例如标示欺诈性呼叫或扣除与欺诈性呼叫相关的经济激励。

公开(公告)号：US09118751B2

公开(公告)日：2015-08-25

申请号：US13842769

申请日：2013-03-15

Applicant: Marchex, Inc.

Inventor： Chris Kolbegger ,  Jason Flaks ,  Tim Graber ,  Bryan Rieger ,  Ziad Ismail ,  Govindaraj Ramanathan ,  Darren Spehr ,  Matthew Berk

IPC: H04M1/64 ,  H04M3/22 ,  G10L25/51 ,  H04M3/51 ,  G10L25/78 ,  H04L12/24 ,  H04L12/26

CPC classification number: H04M3/5175 ,  G10L25/51 ,  G10L25/78 ,  G10L25/93 ,  H04L41/5067 ,  H04L43/0852 ,  H04M3/2281 ,  H04M3/42221 ,  H04M3/5166 ,  H04M2203/559

Abstract: A facility and method for analyzing and classifying calls without transcription. The facility analyzes individual frames of an audio to identify speech and measure the amount of time spent in speech for each channel (e.g., caller channel, agent channel). Additional telephony metrics such as R-factor or MOS score and other metadata may be factored in as audio analysis inputs. The facility then analyzes the frames together as a whole and formulates a clustered-frame representation of a conversation to further identify dialogue patterns and characterize call classification. Based on the data in the clustered-frame representation, the facility is able to make estimations of call classification. The correlation of dialogue patterns to call classification may be utilized to develop targeted solutions for call classification issues, target certain advertising channels over others, evaluate advertising placements at scale, score callers, and to identify spammers.

Abstract translation: 用于分析和分类呼叫而不进行转录的设施和方法。 该设施分析音频的各个帧以识别语音并测量每个频道（例如，主叫频道，代理频道）在语音中花费的时间量。 诸如R因子或MOS分数和其他元数据的附加电话指标可以作为音频分析输入被考虑。 该设施然后将框架作为一个整体进行分析，并且制定会话的聚集框架表示，以进一步识别对话模式并表征呼叫分类。 基于集群帧表示中的数据，该设施能够对呼叫分类进行估计。 可以利用对话模式与呼叫分类的相关性来制定呼叫分类问题的有针对性的解决方案，将某些广告渠道定位到其他广告渠道，评估广告刊登位置，评分呼叫者和识别垃圾邮件发送者。

公开(公告)号：US20150100302A1

公开(公告)日：2015-04-09

申请号：US14045118

申请日：2013-10-03

Applicant: Marchex, Inc.

Inventor： Jason Flaks ,  Ziad Ismail ,  Chris Kolbegger

IPC: G06F17/28

CPC classification number: G10L15/193 ,  G10L15/142 ,  G10L15/16 ,  G10L15/1822 ,  G10L2015/088 ,  H04M3/5175 ,  H04M2201/18 ,  H04M2201/40 ,  H04M2201/405 ,  H04M2203/6009 ,  H04M2242/12

Abstract: A facility and method for analyzing and classifying calls without transcription via keyword spotting is disclosed. The facility uses a group of calls having known outcomes to generate one or more domain- or entity-specific grammars containing keywords and related information that are indicative of particular outcome. The facility monitors telephone calls by determining the domain or entity associated with the call, loading the appropriate grammar or grammars associated with the determined domain or entity, and tracking keywords contained in the loaded grammar or grammars that are spoken during the monitored call, along with additional information. The facility performs a statistical analysis on the tracked keywords and additional information to determine a classification for the monitored telephone call.

Abstract translation: 公开了一种通过关键词检测来分析和分类无转录的设施和方法。 该设施使用具有已知结果的一组呼叫来生成包含关键字和相关信息的一个或多个域或实体特定语法，这些语法指示特定的结果。 该设施通过确定与呼叫相关联的域或实体来监视电话呼叫，加载与所确定的域或实体相关联的适当语法或语法，以及跟踪包含在被监视呼叫期间所述的加载的语法或语法中的关键字以及 附加信息。 该设施对跟踪的关键字和附加信息进行统计分析，以确定被监视的电话呼叫的分类。