公开(公告)号：US12217752B2

公开(公告)日：2025-02-04

申请号：US17749677

申请日：2022-05-20

Applicant: VERINT AMERICAS INC.

Inventor： John Kane

IPC: G06F40/30 ,  G06F40/279 ,  G10L15/18 ,  G10L15/22 ,  G10L15/30 ,  G10L25/63 ,  H04M3/51

Abstract: A system and method for integrating audio data collected, such as audio data and analytical data, to perform behavioral analysis on the audio data, using an application of acoustic signal processing and machine learning algorithms, by converting the audio data to text data and performing behavioral analysis on the text data. The behavioral analysis data from the audio application of acoustic signal processing is combined with machine learning algorithms and speech to text data to provide a call agent with feedback to assist in the next best action or insight into customer behaviors.

公开(公告)号：US20240257517A1

公开(公告)日：2024-08-01

申请号：US18161476

申请日：2023-01-30

Applicant: Verint Americas Inc

Inventor： Michael Sutton ,  Zvi Figov ,  Nir Naor

IPC: G06V20/40 ,  G06F16/78 ,  G06V10/774

CPC classification number: G06V20/44 ,  G06F16/7867 ,  G06V10/774

Abstract: A tagging system gathers all events (tagged and untagged) generated by remote sensors at a location or facility over time. Based on the gathered events the tagging system uses machine learning to train a model to learn the sensor layout of a facility or location and the timing between the triggering of sensors. Once trained, the model can predict the movement and location of individuals and objects throughout the facility based on a starting tagged event. Given a series of tagged and untagged events, the system can use the movement predictions of the model to tag the untagged events in the series with the identification of an individual or object that triggered the generation of the untagged event.

公开(公告)号：US11960847B2

公开(公告)日：2024-04-16

申请号：US16835975

申请日：2020-03-31

Applicant: Verint Americas Inc.

Inventor： Ian Beaver

IPC: G06F40/35 ,  G06F16/9032 ,  G06F18/21 ,  G06N5/04 ,  G06N20/00

CPC classification number: G06F40/35 ,  G06F16/90332 ,  G06F18/2178 ,  G06N20/00

Abstract: Systems and methods are described to automatically generate candidate questions and responses to speed the process of response creation and editing for commercial IVAs and chatbots. Rather than create the questions and responses from scratch for a new IVA, the system uses existing questions and responses from a previous or related IVA to train a model that can generate proposed responses to provided questions. The model, or a different model, can further be trained to generate responses using data taken from company or entity-specific data sources such as websites and knowledge bases. After a set of questions and responses have been generated for an IVA they may be reviewed by one or more human reviewers to ensure they are of a suitable quality. Where no previous or related IVA exists to provide example responses, the model may be trained solely using the company or entity-specific data.

公开(公告)号：US11934784B2

公开(公告)日：2024-03-19

申请号：US17838461

申请日：2022-06-13

Applicant: Verint Americas Inc.

Inventor： Ian Roy Beaver

IPC: G06F40/289 ,  A61K31/198 ,  A61K31/215 ,  A61K31/216 ,  A61K31/401 ,  A61K31/41 ,  A61K38/18 ,  G06N20/00

CPC classification number: G06F40/289 ,  A61K31/198 ,  A61K31/215 ,  A61K31/216 ,  A61K31/401 ,  A61K31/41 ,  A61K38/1841 ,  G06N20/00

Abstract: A system and method for updating computerized language models is provided that automatically adds or deletes terms from the language model to capture trending events or products, while maximizing computer efficiencies by deleting terms that are no longer trending and use of knowledge bases, machine learning model training and evaluation corpora, analysis tools and databases.

公开(公告)号：US11928634B2

公开(公告)日：2024-03-12

申请号：US17939632

申请日：2022-09-07

Applicant: Verint Americas Inc.

Inventor： Joseph Wayne Dumoulin ,  Cynthia Freeman ,  James DelloStritto

IPC: G06Q10/00 ,  G06F17/18 ,  G06Q10/0635 ,  G06Q30/018 ,  H04M15/00

CPC classification number: G06Q10/0635 ,  G06F17/18 ,  G06Q30/0185 ,  H04M15/00 ,  H04M15/47

Abstract: Detecting fraudulent activity can be a complex, manual process. In this paper, we adapt statistical properties of count data in a novel algorithm to uncover records exhibiting high risk for fraud. Our method identifies shelves, partitioning data under the counts using a Student's t-distribution. We apply this methodology on a univariate dataset including cumulative results from phone calls to a customer service center. Additionally, we extend this technique to multivariate data, illustrating that the same method is applicable to both univariate and multivariate data.

公开(公告)号：US11907645B2

公开(公告)日：2024-02-20

申请号：US17582327

申请日：2022-01-24

Applicant: Verint Americas Inc.

Inventor： Michael B. Hunigan ,  Alexei White

IPC: G06F9/451 ,  G06F16/957 ,  G06F40/143

CPC classification number: G06F40/143 ,  G06F9/451 ,  G06F16/9577

Abstract: Computer-implemented techniques are disclosed for presenting an in-page console on a website for reviewing interaction data captured during user interaction with one or more web pages of the website. The web browser activates the in-page console via an activation procedure. One or more of the web pages of the website are selected after activation of the in-page console. A feedback badge on the website can be replaced with a reporting badge upon activation of the in-page console and with the reporting badge displaying an indicator of interaction data captured for the selected web page. The in-page console is overlaid one or more of the selected web pages. The in-page console displays the interaction data, or recordings of user interaction, captured during user interaction with the selected web page to enable review of the captured interaction data for the selected web page overlaid on the selected web page.

公开(公告)号：US20240054995A1

公开(公告)日：2024-02-15

申请号：US17886859

申请日：2022-08-12

Applicant: Verint Americas Inc.

Inventor： Michael Levy ,  Jay Miller

IPC: G10L15/18 ,  G10L15/05

CPC classification number: G10L15/1815 ,  G10L15/05

Abstract: An interactive voice response (IVR) system including iterative speech recognition with semantic interpretation is deployed to process an audio input in a manner that optimizes and conserves computing resources and facilitates low-latency discovery of start-of-speech events that can be used to support external processes such as barge-in operations. The IVR system can repeatedly receive an audio input at a speech processing component and apply an input-aware recognition process to the audio input. In response to generating a start-of-speech event, the IVR system can apply an input-unaware recognition process to the remaining audio input and determine a semantic meaning in relation to the relevant portion of the audio input.

公开(公告)号：US20240046397A1

公开(公告)日：2024-02-08

申请号：US17880154

申请日：2022-08-03

Applicant: Verint Americas Inc.

Inventor： Tim McCurry ,  Joshua Tindal Gray ,  Wade Walker Ezell ,  Ryan Thomas Schneider ,  Andrew Jabasa

IPC: G06Q50/26 ,  G06F21/62

CPC classification number: G06Q50/265 ,  G06F21/6245

Abstract: A system for detecting fraudulent activity using account analytics obtains an interaction record for an interaction between a remote device and a user account via an interaction channel, where the interaction is an attempt to access the user account, obtains historical data relating to the user account and the interaction channel that includes one or more historical interaction records relating to the user account and activity records relating to the interaction channel, calculates a threat score for the user account based on the interaction record and the one or more historical interaction records that indicates a likelihood that the user account is subject to fraudulent activity, generates a database record based on the interaction record that includes the threat score, and initiates corrective action if the threat score exceeds a predetermined threshold.

公开(公告)号：US11882325B2

公开(公告)日：2024-01-23

申请号：US17965016

申请日：2022-10-13

Applicant: Verint Americas Inc.

Inventor： Hugo Martel

IPC: H04N21/2343 ,  H04N7/52 ,  H04N7/24 ,  H04N21/2187 ,  H04N21/4402 ,  H04N21/4223 ,  H04N21/443 ,  H04N21/6373 ,  H04N21/854 ,  H03M7/30 ,  H03M7/40 ,  H03M7/32

CPC classification number: H04N21/23439 ,  H04N7/24 ,  H04N7/52 ,  H04N21/2187 ,  H04N21/234309 ,  H04N21/234381 ,  H04N21/4223 ,  H04N21/44029 ,  H04N21/4436 ,  H04N21/440281 ,  H04N21/6373 ,  H04N21/85406 ,  H03M7/3006 ,  H03M7/4068 ,  H03M7/6047

Abstract: Embodiments described herein provide systems and methods for sharing encoder output of video streams. In a particular embodiment, a method provides determining video profiles for each of a plurality of devices. The method further provides determining if two or more of the video profiles are similar by determining if parameters associated with each video profile differ by less than a threshold value. The method further provides transmitting a video stream encoded in a single format to the devices if they have similar profiles and transmitting video streams encoded in different formats to the devices if they do not have similar profiles.

公开(公告)号：US11868732B2

公开(公告)日：2024-01-09

申请号：US17883064

申请日：2022-08-08

Applicant: Verint Americas Inc.

Inventor： Cynthia Freeman ,  Ian Beaver

IPC: G06F40/30 ,  H04L51/02 ,  G06F40/35 ,  G10L15/22 ,  G06F40/117

CPC classification number: G06F40/30 ,  G06F40/117 ,  G06F40/35 ,  H04L51/02 ,  G10L15/22 ,  G10L2015/223

Abstract: This disclosure describes techniques and architectures for evaluating conversations. In some instances, conversations with users, virtual assistants, and others may be analyzed to identify potential risks within a language model that is employed by the virtual assistants and other entities. The potential risks may be evaluated by administrators, users, systems, and others to identify potential issues with the language model that need to be addressed. This may allow the language model to be improved and enhance user experience with the virtual assistants and others that employ the language model.