公开(公告)号：US20170149984A1

公开(公告)日：2017-05-25

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: 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.

公开(公告)号：US09614962B2

公开(公告)日：2017-04-04

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: H04M1/64 ,  H04M3/51 ,  G10L25/51 ,  H04M3/22 ,  G10L25/93 ,  H04M3/42 ,  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 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：US20170366668A1

公开(公告)日：2017-12-21

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

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.

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：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：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。

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。