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：US10810995B2

公开(公告)日：2020-10-20

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：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：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。