公开(公告)号：US10904643B2

公开(公告)日：2021-01-26

申请号：US16378286

申请日：2019-04-08

Applicant: PINDROP SECURITY, INC.

Inventor： Nick Gaubitch ,  Scott Strong ,  John Cornwell ,  Hassan Kingravi ,  David Dewey

IPC: H04M1/56 ,  H04M15/06 ,  H04Q3/70 ,  H04M3/22 ,  H04M7/12 ,  H04Q1/45 ,  G10L25/51 ,  H04L25/02 ,  H04M3/493

Abstract: Systems, methods, and computer-readable media for call classification and for training a model for call classification, an example method comprising: receiving DTMF information from a plurality of calls; determining, for each of the calls, a feature vector including statistics based on DTMF information such as DTMF residual signal comprising channel noise and additive noise; training a model for classification; comparing a new call feature vector to the model; predicting a device type and geographic location based on the comparison of the new call feature vector to the model; classifying the call as spoofed or genuine; and authenticating a call or altering an IVR call flow.

公开(公告)号：US10257591B2

公开(公告)日：2019-04-09

申请号：US15600625

申请日：2017-05-19

Applicant: PINDROP SECURITY, INC.

Inventor： Nick Gaubitch ,  Scott Strong ,  John Cornwell ,  Hassan Kingravi ,  David Dewey

IPC: H04M1/56 ,  H04M15/06 ,  H04Q3/70 ,  G10L25/51 ,  H04L25/02 ,  H04M3/493 ,  H04M3/22 ,  H04M7/12 ,  H04Q1/45

Abstract: Systems, methods, and computer-readable media for call classification and for training a model for call classification, an example method comprising: receiving DTMF information from a plurality of calls; determining, for each of the calls, a feature vector including statistics based on DTMF information such as DTMF residual signal comprising channel noise and additive noise; training a model for classification; comparing a new call feature vector to the model; predicting a device type and geographic location based on the comparison of the new call feature vector to the model; classifying the call as spoofed or genuine; and authenticating a call or altering an IVR call flow.

公开(公告)号：US20220337924A1

公开(公告)日：2022-10-20

申请号：US17857618

申请日：2022-07-05

Applicant: Pindrop Security, Inc.

Inventor： Nick Gaubitch ,  Scott Strong ,  John Cornwell ,  Hassan Kingravi ,  David Dewey

IPC: H04Q3/70 ,  H04M3/22 ,  H04M7/12 ,  H04Q1/45 ,  G10L25/51 ,  H04L25/02 ,  H04M3/493

Abstract: Systems, methods, and computer-readable media for call classification and for training a model for call classification, an example method comprising: receiving DTMF information from a plurality of calls; determining, for each of the calls, a feature vector including statistics based on DTMF information such as DTMF residual signal comprising channel noise and additive noise; training a model for classification; comparing a new call feature vector to the model; predicting a device type and geographic location based on the comparison of the new call feature vector to the model; classifying the call as spoofed or genuine; and authenticating a call or altering an IVR call flow.

公开(公告)号：US20240323270A1

公开(公告)日：2024-09-26

申请号：US18680327

申请日：2024-05-31

Applicant: Pindrop Security, Inc.

Inventor： Nick Gaubitch ,  Scott Strong ,  John Cornwell ,  Hassan Kingravi ,  David Dewey

IPC: H04M1/56 ,  G10L25/51 ,  H04L25/02 ,  H04M3/22 ,  H04M3/493 ,  H04M7/12 ,  H04Q1/45 ,  H04Q3/70

CPC classification number: H04M1/56 ,  H04L25/0202 ,  H04M3/2281 ,  H04M3/493 ,  H04M7/1295 ,  H04Q1/45 ,  H04Q3/70 ,  G10L25/51 ,  H04M2201/18 ,  H04M2203/60 ,  H04Q2213/13139 ,  H04Q2213/13405 ,  H04Q2213/13515

Abstract: Systems, methods, and computer-readable media for call classification and for training a model for call classification, an example method comprising: receiving DTMF information from a plurality of calls; determining, for each of the calls, a feature vector including statistics based on DTMF information such as DTMF residual signal comprising channel noise and additive noise; training a model for classification; comparing a new call feature vector to the model; predicting a device type and geographic location based on the comparison of the new call feature vector to the model; classifying the call as spoofed or genuine; and authenticating a call or altering an IVR call flow.

公开(公告)号：US12015731B2

公开(公告)日：2024-06-18

申请号：US17857618

申请日：2022-07-05

Applicant: Pindrop Security, Inc.

Inventor： Nick Gaubitch ,  Scott Strong ,  John Cornwell ,  Hassan Kingravi ,  David Dewey

IPC: H04M1/56 ,  H04L25/02 ,  H04M3/22 ,  H04M3/493 ,  H04M7/12 ,  H04M15/06 ,  H04Q1/45 ,  H04Q3/70 ,  G10L25/51

CPC classification number: H04M1/56 ,  H04L25/0202 ,  H04M3/2281 ,  H04M3/493 ,  H04M7/1295 ,  H04Q1/45 ,  H04Q3/70 ,  G10L25/51 ,  H04M2201/18 ,  H04M2203/60 ,  H04Q2213/13139 ,  H04Q2213/13405 ,  H04Q2213/13515

Abstract: Systems, methods, and computer-readable media for call classification and for training a model for call classification, an example method comprising: receiving DTMF information from a plurality of calls; determining, for each of the calls, a feature vector including statistics based on DTMF information such as DTMF residual signal comprising channel noise and additive noise; training a model for classification; comparing a new call feature vector to the model; predicting a device type and geographic location based on the comparison of the new call feature vector to the model; classifying the call as spoofed or genuine; and authenticating a call or altering an IVR call flow.

公开(公告)号：US11388490B2

公开(公告)日：2022-07-12

申请号：US17157848

申请日：2021-01-25

Applicant: PINDROP SECURITY, INC.

Inventor： Nick Gaubitch ,  Scott Strong ,  John Cornwell ,  Hassan Kingravi ,  David Dewey

IPC: H04M1/56 ,  H04M15/06 ,  H04Q3/70 ,  H04M3/22 ,  H04M7/12 ,  H04Q1/45 ,  G10L25/51 ,  H04L25/02 ,  H04M3/493

Abstract: Systems, methods, and computer-readable media for call classification and for training a model for call classification, an example method comprising: receiving DTMF information from a plurality of calls; determining, for each of the calls, a feature vector including statistics based on DTMF information such as DTMF residual signal comprising channel noise and additive noise; training a model for classification; comparing a new call feature vector to the model; predicting a device type and geographic location based on the comparison of the new call feature vector to the model; classifying the call as spoofed or genuine; and authenticating a call or altering an IVR call flow.