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    Input-aware and input-unaware iterative speech recognition
    1.
    发明授权
    Input-aware and input-unaware iterative speech recognition 有权

    公开(公告)号：US12230256B2

    公开(公告)日：2025-02-18

    申请号：US17886859

    申请日：2022-08-12

    Applicant: Verint Americas Inc.

    Inventor： Michael Levy ,  Jay Miller

    IPC: G10L15/05 ,  G10L15/18 ,  G10L15/22

    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.

    SYSTEMS AND METHODS FOR PROVIDING FITNESS FUNCTION VISUALIZATIONS
    2.
    发明申请
    SYSTEMS AND METHODS FOR PROVIDING FITNESS FUNCTION VISUALIZATIONS 有权

    公开(公告)号：US20240412122A1

    公开(公告)日：2024-12-12

    申请号：US18741276

    申请日：2024-06-12

    Applicant: Verint Americas Inc.

    Inventor： John Richard O'Farrell ,  Jonathan Silverman

    IPC: G06Q10/04 ,  G06F17/18

    Abstract: Embodiments of the present disclosure provide systems and methods for generating a plurality of forecasts for a future time interval using a plurality of models and/or algorithms in order to assess the performance of each model. An example computer-implemented method can comprise generating a fitness function visualization corresponding with determined quantitative measures of forecast quality for each of the plurality of models and/or algorithms.

    Intelligent Forecasting with Benchmarks
    3.
    发明公开
    Intelligent Forecasting with Benchmarks 审中-公开

    公开(公告)号：US20240232778A1

    公开(公告)日：2024-07-11

    申请号：US18095244

    申请日：2023-01-10

    Applicant: Verint Americas Inc.

    Inventor： Nicholas MORTIMER ,  Scott LINDSAY ,  Jonathan SILVERMAN

    IPC: G06Q10/0639 ,  G06Q10/0637

    CPC classification number: G06Q10/06393 ,  G06Q10/06375

    Abstract: A method for providing benchmark-plans to a customer based on benchmark information, comprising receiving a customer-defined service goal and a demand forecast for the customer; generating, with a planner, a plan for achieving the customer-defined service goal based on the demand forecast; determining a benchmark category from a plurality of benchmark categories that the customer belongs to based on at least an industry of the customer, wherein the benchmark category defines a plurality of other customer-defined service goals for other customers participating in at least the industry as the customer; determining benchmark service goals based on the determined benchmark category; executing the planner for each of the benchmark service goals thereby generating benchmark-plans for the demand forecast for the customer; and outputting, to the customer, the plan and the benchmark-plans, wherein the benchmark-plans are different from the plan.

    Machine based expansion of contractions in text in digital media
    8.
    发明授权
    Machine based expansion of contractions in text in digital media 有权

    公开(公告)号：US11907656B2

    公开(公告)日：2024-02-20

    申请号：US17705898

    申请日：2022-03-28

    Applicant: Verint Americas Inc.

    Inventor： Ian Beaver

    IPC: G06F40/253

    CPC classification number: G06F40/253

    Abstract: As described herein, a system for expanding contractions in electronically stored text includes expanding contractions having only on expanded form. For remaining contractions, a grammar check is performed for all possible expanded forms to determine if an expanded form can be selected based on context and grammar rules. If an expanded form is not evident from the first two steps, all possible expanded forms of the remaining contractions are converted to a vector representation along with the original text. A Word Movers Distance (WMD) for each possible expansion is calculated using the vectors for each possible expansion and the original text. An expanded form is chosen without human intervention based on the grammar score alone or the WMD and the grammar score.

    GENERATING CONVERSATIONAL AI RESPONSE SUGGESTIONS
    9.
    发明公开
    GENERATING CONVERSATIONAL AI RESPONSE SUGGESTIONS 审中-公开

    公开(公告)号：US20240037344A1

    公开(公告)日：2024-02-01

    申请号：US17815042

    申请日：2022-07-26

    Applicant: Verint Americas Inc.

    Inventor： Timothy Hewitt

    IPC: G06F40/40

    CPC classification number: G06F40/40

    Abstract: The present disclosure describes methods and systems for suggesting responses generated from an entity's own published information with links to the source of that generated response should provide a quality starting point that is already accurate and brand compliant or, if not, quickly editable to become so. The published information is ingested by the system, and a question/answer transformation process is applied against the ingested data using training language data that is tagged and categorized by intent to generate suggested responses. The suggested response may be presented in a user interface with a link to the URL which was used to construct the response. The suggested responses may be edited if needed.

    Task Gathering for Asynchronous Task-Oriented Virtual Assistants
    10.
    发明公开
    Task Gathering for Asynchronous Task-Oriented Virtual Assistants 审中-公开

    公开(公告)号：US20240037334A1

    公开(公告)日：2024-02-01

    申请号：US17875790

    申请日：2022-07-28

    Applicant: Verint Americas Inc.

    Inventor： Ian Beaver ,  Vladislav Luzin

    IPC: G06F40/284 ,  G06F9/451 ,  G06F40/205

    CPC classification number: G06F40/284 ,  G06F9/453 ,  G06F40/205

    Abstract: An intelligent virtual assistant (IVA) is deployed to place a call/chat to customer service on behalf of the customer, thus saving them time and frustration. The IVA contacts a destination entity over one or more channels, for example, chat, phone call, Application Programming Interface (API), or email, in order to complete open-ended task(s) requested by another computer. Before the IVA contacts the destination entity, a specific user profile is injected into an IVA dialog state. The IVA contacts the destination entity and answers customer service agent (CSA) questions by using the specific user profile inserted. The IVA then stores the task outcome for the user to review. If something prevents the task from succeeding, the IVA alerts the user that either it needs more information or the user may need to perform some action before the task can be completed, such as filling out, or emailing a form.

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