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公开(公告)号：US20210344801A1
公开(公告)日：2021-11-04
申请号：US17376209
申请日：2021-07-15
Applicant: NICE LTD
Inventor： Roman FRENKEL , Matan KERET , Roman SHTERNHARTS , Itay KALMAN HAREL , Galya Julya BAR , Yaara BAR , Michal DAISEY MOMIKA
Abstract: A computer-implemented method for proactive fraudster exposure in a customer service center according to content analysis and voice biometrics analysis, is provided herein. The computer-implemented method includes: (i) performing a first type analysis to cluster the call interactions into ranked clusters and storing the ranked clusters in a clusters database; (ii) performing a second type analysis on a predefined amount of the highest ranked clusters, into ranked clusters and storing the ranked clusters; the first type analysis is a content analysis and the second type analysis is a voice biometrics analysis, or vice versa; (iii) retrieving from the ranked clusters, a list of fraudsters; and (iv) transmitting the list of potential fraudsters to an application to display to a user said list of potential fraudsters via a display unit.
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公开(公告)号：US20220246153A1
公开(公告)日：2022-08-04
申请号：US17166525
申请日：2021-02-03
Applicant: Nice Ltd.
Inventor： Roman FRENKEL , Yarden HAZUT , Rotem SHUSTER RADASHKEVICH
Abstract: A system and method may classify a plurality of interactions, by: obtaining a plurality of voiceprints of the plurality of interactions, wherein each voiceprint of the plurality of voiceprints represents a speaker participating in an interaction of the plurality of interactions; calculating, for each interaction, a plurality of scores, wherein each score of the plurality of scores is indicative of a similarity between the voiceprint of the interaction and one voiceprint of a set of benchmark voiceprints; calculating, for each interaction, statistics of the scores; and determining that a plurality of interactions pertain to a single cluster of interactions based on statistics of the scores of the interactions in the cluster.
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公开(公告)号：US20210074303A1
公开(公告)日：2021-03-11
申请号：US17099803
申请日：2020-11-17
Applicant: NICE LTD
Inventor： Alon Menahem SHOA , Roman FRENKEL , Matan KERET
IPC: G10L17/22
Abstract: A method for separating and authenticating speech of a speaker on an audio stream of speakers over an audio channel may include receiving audio stream data of the audio stream with speech from a speaker to be authenticated speaking with a second speaker. A voiceprint may be generated for each data chunk in the audio stream data divided into a plurality of data chunks. The voiceprint for each data chunk may be assessed as to whether the voiceprint has speech belonging to the speaker to be authenticated or to the second speaker using representative voiceprints of both speakers. An accumulated voiceprint may be generated using the verified data chunks with speech of the speaker to be authenticated. The accumulated voiceprint may be compared to the reference voiceprint of the speaker to be authenticated for authenticating the speaker speaking with the second speaker over the audio channel.
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公开(公告)号：US20230110911A1
公开(公告)日：2023-04-13
申请号：US18064638
申请日：2022-12-12
Applicant: NICE LTD.
Inventor： Roman FRENKEL , Matan KERET , Michal Daisey LERER
Abstract: A digital audio quality monitoring device uses a deep neural network (DNN) to provide accurate estimates of signal-to-noise ratio (SNR) from a limited set of features extracted from incoming audio. Some embodiments improve the SNR estimate accuracy by selecting a DNN model from a plurality of available models based on a codec used to compress/decompress the incoming audio. Each model has been trained on audio compressed/decompressed by a codec associated with the model, and the monitoring device selects the model associated with the codec used to compress/decompress the incoming audio. Other embodiments are also provided.
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公开(公告)号：US20220182485A1
公开(公告)日：2022-06-09
申请号：US17112352
申请日：2020-12-04
Applicant: NICE LTD.
Inventor： Roman FRENKEL , Matan KERET , Amit SHARON
Abstract: Systems for and methods of training a spoofing detection model include receiving a plurality of customer call interactions; classifying each of the plurality of customer call interactions as a spoofed call or a non-spoofed call using a spoofing detection model; generating a voiceprint for each of the plurality of customer call interactions; comparing the generated voiceprints; grouping the generated voiceprints into one or more clusters based on the comparing, wherein each cluster represents a single speaker; locating a cluster containing a spoofed call and a non-spoofed call, thereby indicating that the non-spoofed call was misclassified by the spoofing detection model; and updating the spoofing detection model with the non-spoofed call.
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Patent Agency Ranking
6.发明申请公开(公告)号：US20200211571A1
公开(公告)日：2020-07-02
申请号：US16236655
申请日：2018-12-31
Applicant: NICE LTD
Inventor： Alon Menahem SHOA , Roman FRENKEL , Matan KERET
IPC: G10L17/22
Abstract: A method for separating and authenticating speech of a speaker on an audio stream of speakers over an audio channel may include receiving audio stream data of the audio stream with speech from a speaker to be authenticated speaking with a second speaker. A voiceprint may be generated for each data chunk in the audio stream data divided into a plurality of data chunks. The voiceprint for each data chunk may be assessed as to whether the voiceprint has speech belonging to the speaker to be authenticated or to the second speaker using representative voiceprints of both speakers. An accumulated voiceprint may be generated using the verified data chunks with speech of the speaker to be authenticated. The accumulated voiceprint may be compared to the reference voiceprint of the speaker to be authenticated for authenticating the speaker speaking with the second speaker over the audio channel.
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7.发明公开公开(公告)号：US20230214850A1
公开(公告)日：2023-07-06
申请号：US17568408
申请日：2022-01-04
Applicant: NICE Ltd.
Inventor： Matan KERET , Roman FRENKEL , Zvika HOREV
CPC classification number: G06Q30/0185 , G10L17/06 , G10L15/02 , G06F16/65 , G10L2015/025
Abstract: A system and method for real-time fraud detection with a social engineering phoneme (SEP) watchlist of phoneme sequences may perform real-time fraud prevention operations including receiving incoming call interactions and grouping the call interactions into one or more clusters, each cluster associated with a speaker's voice based on voiceprints. For a pair of voiceprints in a cluster, a phoneme sequence is extracted for each voice print. From the extracted phoneme sequences, a similarity score is then calculated to determine if a match exists between the extracted phoneme sequences based on a threshold. If determined a match exists, the phoneme sequence may be added to a SEP watchlist.
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公开(公告)号：US20230061617A1
公开(公告)日：2023-03-02
申请号：US17464817
申请日：2021-09-02
Applicant: NICE LTD.
Inventor： Michael FAINSTEIN , Roman FRENKEL
Abstract: A system is provided for fraud prevention upscaling with a fraudster voice print watchlist. The system includes a processor and a computer readable medium operably coupled thereto, to perform fraud prevention operations which include receiving a first voice print of a user during a voice authentication request, accessing the fraudster voice print watchlist comprising voice print representatives for a plurality of voice print clusters each having one or more of a plurality of voice prints identified as fraudulent for a voice biometric system, determining that one or more of the voice print representatives in the fraudster voice print watchlist meets or exceeds a first biometric threshold for risk detection of the first voice print during the fraud prevention operations, and determining whether the first voice print matches a first one of the plurality of voice print clusters.
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公开(公告)号：US20220303391A1
公开(公告)日：2022-09-22
申请号：US17837094
申请日：2022-06-10
Applicant: NICE LTD.
Inventor： Roman FRENKEL , Tal RASKIN , Adi BEN ZEEV , Stav MISHORY , Dan TEPLITSKI , Hadas KATZ
IPC: H04M3/523 , G10L15/02 , G10L15/26 , G06F40/295 , H04M3/51
Abstract: Systems for and methods of determining the priority of a call interaction include receiving a call interaction from a call center; validating, by a validation and transcription engine, that the call interaction is authentic; converting, by the validation and transcription engine, the call interaction into text; extracting, by a data calculation engine, organization, location, and time information from the text; calculating, by the data calculation engine, a priority of the call interaction from the extracted information and the text by determining an important of words in the text and correlating the words to a priority class using a pre-trained algorithm that is trained on emergency-type and emergency services-type language; determining that the call interaction should be transmitted to a queue of the call center for initial handling by a call center agent; and transmitting the call interaction, the calculated priority, and the extracted information to the call center.
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公开(公告)号：US20210037137A1
公开(公告)日：2021-02-04
申请号：US16740518
申请日：2020-01-13
Applicant: NICE LTD
Inventor： Roman FRENKEL , Matan KERET , Roman SHTERNHARTS , ltay KALMAN HAREL , Galya Julya BAR , Yaara BAR , Michal DAISEY MOMIKA
Abstract: A computer-implemented method for proactive fraudster exposure in a customer service center according to content analysis and voice biometrics analysis, is provided herein. The computer-implemented method includes: (i) collecting call interaction; (ii) storing the collected call interactions; (iii) performing a first type analysis to cluster the call interactions into ranked clusters and storing the ranked clusters in a clusters database; (iv) performing a second type analysis on a predefined amount of the highest ranked clusters, into ranked clusters and storing the ranked clusters; the first type analysis is a content analysis and the second type analysis is a voice biometrics analysis, or vice versa, (v) enabling a user to repeat steps (iii) and (iv); (vi) retrieving from the ranked clusters, a list of fraudsters; and transmitting the list of potential fraudsters to an application to display to a user said list of potential fraudsters via a display unit.
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