公开(公告)号：US10348896B2

公开(公告)日：2019-07-09

申请号：US15475456

申请日：2017-03-31

Applicant: Marchex, Inc.

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

IPC: H04M3/51 ,  G10L25/51 ,  H04M3/22 ,  G10L25/93 ,  H04M3/42 ,  G10L25/78 ,  H04L12/24 ,  H04L12/26

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 dialog 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 dialog 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.

公开(公告)号：US10230851B2

公开(公告)日：2019-03-12

申请号：US15339682

申请日：2016-10-31

Applicant: Marchex, Inc.

Inventor： Jason Flaks ,  Iroro Orife ,  Bryan Rieger ,  Ryan O Rourke ,  Shane Walker

IPC: H04M1/66 ,  H04M15/00 ,  H04M3/36 ,  H04M3/22 ,  H04M7/00

Abstract: A system and method for monitoring telephone calls to detect call traffic pumping activity and take corrective action is described. The system receives a group of training telephone calls having associated call audio content and associated information, and the system analyzes the training telephone calls to generate and store a classification model that correlates call features and associations with a probability of call traffic pumping activity. The system receives a subsequent monitored telephone call to be analyzed. The system analyzes the monitored telephone call to identify features present in the audio content of the monitored telephone call and other associated information. The system then compares the features and associated information to the stored classification model in order to determine a probability that the monitored telephone call is associated with call traffic pumping activity. If the assessed probability of call traffic pumping activity exceeds a threshold, the system takes appropriate corrective action, such as terminating or flagging the monitored call.

公开(公告)号：US20180315417A1

公开(公告)日：2018-11-01

申请号：US15965690

申请日：2018-04-27

Applicant: Marchex, Inc.

Inventor： Jason Flaks ,  Shane Walker ,  Iroro Orife ,  Morten Pedersen

IPC: G10L15/06 ,  G10L15/26

Abstract: The disclosed system continuously refines a model used by an Automatic Speech Recognition (ASR) system to enable fast and accurate transcriptions of detected speech activity. The ASR system analyzes speech activity to generate text transcriptions and associated metrics (such as minimum Bayes risk and/or perplexity) that correspond to the quality of or confidence in each generated transcription. The system employs a filtering process to select certain text transcriptions based in part on one or more associated quality metrics. In addition, the system corrects for known systemic errors within the ASR system and provides a mechanism for manual review and correction of transcriptions. The system selects a subset of transcriptions based on factors including confidence score, and uses the selected subset of transcriptions to re-train the ASR model. By continuously retraining the ASR model, the system is able to provide ever faster and more accurate text transcriptions of detected speech activity.

公开(公告)号：US09484026B2

公开(公告)日：2016-11-01

申请号：US14990221

申请日：2016-01-07

Applicant: Marchex, Inc.

Inventor： Jason Flaks ,  Ziad Ismail ,  Chris Kolbegger

IPC: G10L15/00 ,  G10L15/193 ,  G10L15/18 ,  G10L15/14 ,  G10L15/16 ,  H04M3/51 ,  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.

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。

公开(公告)号：US20150365530A1

公开(公告)日：2015-12-17

申请号：US14834196

申请日：2015-08-24

Applicant: MARCHEX, INC.

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

IPC: H04M3/51 ,  H04M3/42 ,  G10L25/93 ,  H04M3/22

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：US20140270114A1

公开(公告)日：2014-09-18

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: G10L15/04

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：US10477403B2

公开(公告)日：2019-11-12

申请号：US16166339

申请日：2018-10-22

Applicant: Marchex, Inc.

Inventor： Jason Flaks ,  Ziad Ismail

IPC: H04W12/12 ,  H04M15/00 ,  H04M3/436 ,  H04L29/06 ,  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.

公开(公告)号：US09596356B2

公开(公告)日：2017-03-14

申请号：US14987565

申请日：2016-01-04

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：US20160330317A1

公开(公告)日：2016-11-10

申请号：US14721912

申请日：2015-05-26

Applicant: Marchex, Inc.

Inventor： Jason Flaks ,  Iroro Orife ,  Bryan Rieger ,  Ryan O'Rourke ,  Shane Walker

IPC: H04M3/36 ,  H04M3/22 ,  H04M15/00

CPC classification number: H04M15/47 ,  H04M3/2263 ,  H04M3/2281 ,  H04M3/367 ,  H04M7/0078 ,  H04M15/50 ,  H04M15/58 ,  H04M2203/6027 ,  H04M2215/0148

Abstract: A system and method for monitoring telephone calls to detect call traffic pumping activity and take corrective action is described. The system receives a group of training telephone calls having associated call audio content and associated information, and the system analyzes the training telephone calls to generate and store a classification model that correlates call features and associations with a probability of call traffic pumping activity. The system receives a subsequent monitored telephone call to be analyzed. The system analyzes the monitored telephone call to identify features present in the audio content of the monitored telephone call and other associated information. The system then compares the features and associated information to the stored classification model in order to determine a probability that the monitored telephone call is associated with call traffic pumping activity. If the assessed probability of call traffic pumping activity exceeds a threshold, the system takes appropriate corrective action, such as terminating or flagging the monitored call.

Abstract translation: 描述了一种用于监视电话呼叫以检测呼叫流量泵送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联的呼叫音频内容和相关信息的训练电话呼叫，并且系统分析训练电话呼叫以生成和存储将呼叫特征与呼叫相关联的分类模型与呼叫流量泵送活动的概率相关联。 该系统接收待分析的随后监视的电话呼叫。 该系统分析所监视的电话呼叫以识别被监视的电话呼叫的音频内容中存在的特征和其他相关信息。 然后，该系统将特征和相关信息与存储的分类模型进行比较，以便确定所监视的电话呼叫与呼叫业务泵送活动相关联的概率。 如果评估的呼叫流量抽运活动的概率超过阈值，则系统采取适当的纠正措施，例如终止或标记被监视呼叫。

公开(公告)号：US09485354B1

公开(公告)日：2016-11-01

申请号：US14721912

申请日：2015-05-26

Applicant: Marchex, Inc.

Inventor： Jason Flaks ,  Iroro Orife ,  Bryan Rieger ,  Ryan O'Rourke ,  Shane Walker

IPC: H04M1/66 ,  H04M3/36 ,  H04M15/00 ,  H04M3/22

CPC classification number: H04M15/47 ,  H04M3/2263 ,  H04M3/2281 ,  H04M3/367 ,  H04M7/0078 ,  H04M15/50 ,  H04M15/58 ,  H04M2203/6027 ,  H04M2215/0148

Abstract: A system and method for monitoring telephone calls to detect call traffic pumping activity and take corrective action is described. The system receives a group of training telephone calls having associated call audio content and associated information, and the system analyzes the training telephone calls to generate and store a classification model that correlates call features and associations with a probability of call traffic pumping activity. The system receives a subsequent monitored telephone call to be analyzed. The system analyzes the monitored telephone call to identify features present in the audio content of the monitored telephone call and other associated information. The system then compares the features and associated information to the stored classification model in order to determine a probability that the monitored telephone call is associated with call traffic pumping activity. If the assessed probability of call traffic pumping activity exceeds a threshold, the system takes appropriate corrective action, such as terminating or flagging the monitored call.

Abstract translation: 描述了一种用于监视电话呼叫以检测呼叫流量泵送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联的呼叫音频内容和相关信息的训练电话呼叫，并且系统分析训练电话呼叫以生成和存储将呼叫特征与呼叫相关联的分类模型与呼叫流量泵送活动的概率相关联。 该系统接收待分析的随后监视的电话呼叫。 该系统分析所监视的电话呼叫以识别被监视的电话呼叫的音频内容中存在的特征和其他相关信息。 然后，该系统将特征和相关信息与存储的分类模型进行比较，以便确定所监视的电话呼叫与呼叫业务泵送活动相关联的概率。 如果评估的呼叫流量抽运活动的概率超过阈值，则系统采取适当的纠正措施，例如终止或标记被监视呼叫。