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公开(公告)号：US10665244B1
公开(公告)日：2020-05-26
申请号：US16240602
申请日：2019-01-04
Applicant: PINDROP SECURITY, INC.
Inventor： Payas Gupta , Terry Nelms, II
Abstract: Disclosed herein are embodiments of systems, methods, and products comprises an authentication server for authentication leveraging multiple audio channels. The server receives an authentication request regarding a user upon the user interacting with a first electronic device. The server requests the first device to transmit a first audio file of an audio sample to the server. The audio sample may be the user's audio command or a machine-generated audio signal. The server requests a second electronic device to transmit a second audio file that is the recording of the same audio sample to the server. The second electronic device is a trusted device in proximity of the first device and executes an authentication function to enable the recording and transmitting of the audio sample. The server determines a similarity score between the first audio file and the second audio file and authenticates the user based on the similarity score.
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公开(公告)号：US20190385630A1
公开(公告)日：2019-12-19
申请号：US16442279
申请日：2019-06-14
Applicant: PINDROP SECURITY, INC.
Inventor： Ganesh Sivaraman , Elie Khoury
IPC: G10L21/0232 , G10L25/30 , G06N3/04
Abstract: A computer may segment a noisy audio signal into audio frames and execute a deep neural network (DNN) to estimate an instantaneous function of clean speech spectrum and noisy audio spectrum in the audio frame. This instantaneous function may correspond to a ratio of an a-priori signal to noise ratio (SNR) and an a-posteriori SNR of the audio frame. The computer may add estimated instantaneous function to the original noisy audio frame to output an enhanced speech audio frame.
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公开(公告)号：US20190356782A1
公开(公告)日：2019-11-21
申请号：US16531501
申请日：2019-08-05
Applicant: PINDROP SECURITY, INC.
Inventor： Payas GUPTA , David DEWEY
Abstract: The invention may verify calls to a telephone device by activating call forwarding to redirect calls for the telephone device to a prescribed destination; receiving a message from a server verifying the call; deactivating call forwarding to receive the call; and reactivating call forwarding when the call is concluded. In another embodiment, the invention may, in response to a telephone device initiating a call to a second telephone device installed with a particular application or software, transmit a message to a server causing it to instruct the second telephone device to deactivate call forwarding. In yet another embodiment, the invention may cause a server to receive a message from a prescribed location indicating that a call was received via call forwarding, and in response to the message, transmit an instruction to the intended recipient to deactivate the call forwarding if the call is verified as legitimate.
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公开(公告)号：US20190342452A1
公开(公告)日：2019-11-07
申请号：US16515823
申请日：2019-07-18
Applicant: PINDROP SECURITY, INC.
Inventor： Scott STRONG , Kailash PATIL , David DEWEY , Raj BANDYOPADHYAY , Telvis CALHOUN , Vijay BALASUBRAMANIYAN
Abstract: Systems and methods for call detail record (CDR) analysis to determine a risk score for a call and identify fraudulent activity and for fraud detection in Interactive Voice Response (IVR) systems. An example method may store information extracted from received calls. Queries of the stored information may be performed to select data using keys, wherein each key relates to one of the received calls, and wherein the queries are parallelized. The selected data may be transformed into feature vectors, wherein each feature vector relates to one of the received calls and includes a velocity feature and at least one of a behavior feature or a reputation feature. A risk score for the call may be generated during the call based on the feature vectors.
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公开(公告)号：US20190333521A1
公开(公告)日：2019-10-31
申请号：US16505452
申请日：2019-07-08
Applicant: PINDROP SECURITY, INC.
Inventor： Elie KHOURY , Matthew GARLAND
IPC: G10L17/20 , G10L17/18 , G10L19/028 , G10L17/02 , G10L17/04
Abstract: A system for generating channel-compensated features of a speech signal includes a channel noise simulator that degrades the speech signal, a feed forward convolutional neural network (CNN) that generates channel-compensated features of the degraded speech signal, and a loss function that computes a difference between the channel-compensated features and handcrafted features for the same raw speech signal. Each loss result may be used to update connection weights of the CNN until a predetermined threshold loss is satisfied, and the CNN may be used as a front-end for a deep neural network (DNN) for speaker recognition/verification. The DNN may include convolutional layers, a bottleneck features layer, multiple fully-connected layers and an output layer. The bottleneck features may be used to update connection weights of the convolutional layers, and dropout may be applied to the convolutional layers.
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Patent Agency Ranking
公开(公告)号：US10362172B2
公开(公告)日：2019-07-23
申请号：US15880287
申请日：2018-01-25
Applicant: PINDROP SECURITY, INC.
Inventor： Scott Strong , Kailash Patil , David Dewey , Raj Bandyopadhyay , Telvis Calhoun , Vijay Balasubramaniyan
Abstract: Systems and methods for call detail record (CDR) analysis to determine a risk score for a call and identify fraudulent activity and for fraud detection in Interactive Voice Response (IVR) systems. An example method may store information extracted from received calls. Queries of the stored information may be performed to select data using keys, wherein each key relates to one of the received calls, and wherein the queries are parallelized. The selected data may be transformed into feature vectors, wherein each feature vector relates to one of the received calls and includes a velocity feature and at least one of a behavior feature or a reputation feature. A risk score for the call may be generated during the call based on the feature vectors.
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公开(公告)号：US10347256B2
公开(公告)日：2019-07-09
申请号：US15709024
申请日：2017-09-19
Applicant: PINDROP SECURITY, INC.
Inventor： Elie Khoury , Matthew Garland
IPC: G10L17/18 , G10L17/04 , G10L17/20 , G10L17/02 , G10L19/028
Abstract: A system for generating channel-compensated features of a speech signal includes a channel noise simulator that degrades the speech signal, a feed forward convolutional neural network (CNN) that generates channel-compensated features of the degraded speech signal, and a loss function that computes a difference between the channel-compensated features and handcrafted features for the same raw speech signal. Each loss result may be used to update connection weights of the CNN until a predetermined threshold loss is satisfied, and the CNN may be used as a front-end for a deep neural network (DNN) for speaker recognition/verification. The DNN may include convolutional layers, a bottleneck features layer, multiple fully-connected layers and an output layer. The bottleneck features may be used to update connection weights of the convolutional layers, and dropout may be applied to the convolutional layers.
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公开(公告)号：US10027816B2
公开(公告)日：2018-07-17
申请号：US15445569
申请日：2017-02-28
Applicant: PINDROP SECURITY, INC.
Inventor： Payas Gupta , David Dewey
Abstract: The invention may verify calls to a telephone device by activating call forwarding to redirect calls for the telephone device to a prescribed destination; receiving a message from a server verifying the call; deactivating call forwarding to receive the call; and reactivating call forwarding when the call is concluded. In another embodiment, the invention may, in response to a telephone device initiating a call to a second telephone device installed with a particular application or software, transmit a message to a server causing it to instruct the second telephone device to deactivate call forwarding. In yet another embodiment, the invention may cause a server to receive a message from a prescribed location indicating that a call was received via call forwarding, and in response to the message, transmit an instruction to the intended recipient to deactivate the call forwarding if the call is verified as legitimate.
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公开(公告)号：US20180082692A1
公开(公告)日：2018-03-22
申请号：US15709024
申请日：2017-09-19
Applicant: PINDROP SECURITY, INC.
Inventor： Elie KHOURY , Matthew GARLAND
IPC: G10L17/20 , G10L17/18 , G10L17/04 , G10L17/02 , G10L19/028
CPC classification number: G10L17/20 , G10L17/02 , G10L17/04 , G10L17/18 , G10L19/028
Abstract: A system for generating channel-compensated features of a speech signal includes a channel noise simulator that degrades the speech signal, a feed forward convolutional neural network (CNN) that generates channel-compensated features of the degraded speech signal, and a loss function that computes a difference between the channel-compensated features and handcrafted features for the same raw speech signal. Each loss result may be used to update connection weights of the CNN until a predetermined threshold loss is satisfied, and the CNN may be used as a front-end for a deep neural network (DNN) for speaker recognition/verification. The DNN may include convolutional layers, a bottleneck features layer, multiple fully-connected layers and an output layer. The bottleneck features may be used to update connection weights of the convolutional layers, and dropout may be applied to the convolutional layers.
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公开(公告)号：US20180082691A1
公开(公告)日：2018-03-22
申请号：US15709232
申请日：2017-09-19
Applicant: PINDROP SECURITY, INC.
Inventor： Elie KHOURY , Matthew GARLAND
Abstract: In a speaker recognition apparatus, audio features are extracted from a received recognition speech signal, and first order Gaussian mixture model (GMM) statistics are generated therefrom based on a universal background model that includes a plurality of speaker models. The first order GMM statistics are normalized with regard to a duration of the received speech signal. The deep neural network reduces a dimensionality of the normalized first order GMM statistics, and outputs a voiceprint corresponding to the recognition speech signal.
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