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    System and method for synthesizing automated test cases from natural interactions
    1.
    发明授权
    System and method for synthesizing automated test cases from natural interactions 有权

    公开(公告)号：US11790886B2

    公开(公告)日：2023-10-17

    申请号：US17091370

    申请日：2020-11-06

    申请人： Cyara Solutions Pty Ltd

    发明人： Alok Kulkarni ,  Geoff Willshire ,  Thomas Fejes

    IPC分类号： H04M1/24 ,  H04M3/28 ,  H04M3/493 ,  G10L15/01 ,  G10L15/26 ,  G10L15/22 ,  G06N20/00 ,  H04M3/24

    CPC分类号： G10L15/01 ,  G06N20/00 ,  G10L15/22 ,  G10L15/26 ,  H04M3/24 ,  H04M3/28

    摘要： A system for synthesizing real IVR scenarios, automatically reproducing test scenarios, and providing accurate reports on those scenarios. An IVR tester uses a telephony device (website, mobile app, VOIP, etc.) and an automated IVR test case generator to place test calls to an IVR system. The automated IVR test case generator intercepts and collects the phone call's audio stream, dual-tone multi-frequency signals, and available metadata (e.g., response times, post-speech silence timeout, etc.). Once the call is complete, the automated IVR test case generator pre-populates a webpage or other user-interface technology and a database with the audio stream, dual-tone multi-frequency signals, and available metadata from the test scenario phone call. The IVR tester may then save that test scenario and continue to the next scenario. The saved scenario may now be used automatically by the IVR test case generator for regression testing or duplicated and edited for use in other systems.

    Method and system for verifying the operability of a target device
    6.
    发明授权
    Method and system for verifying the operability of a target device 有权

    公开(公告)号：US11528356B2

    公开(公告)日：2022-12-13

    申请号：US17110689

    申请日：2020-12-03

    申请人： JPMorgan Chase Bank, N.A.

    发明人： Alan Diaz ,  Marie Drapalova ,  Jigarkumar P. Patel ,  Jigar Ajay Kothari ,  Adeel A. Khan

    IPC分类号： H04M3/24 ,  H04L65/1096 ,  H04L9/32 ,  G06F3/0488 ,  G06V30/10

    摘要： A method and computing apparatus for verifying an operability of a target device are provided. The method includes sequentially obtaining first image information of the target device, initiating a communication with the target device, obtaining second image information of the target device, comparing the first image information with the second image information; and determining whether the target device is operational based on a result of the comparing wherein the target device is determined as being operational when the first image information is different from the second image information, and the target device is determined as at least one of not receiving communications and not operational when the first image information is identical to the second image information.

    MACHINE LEARNING DATASET GENERATION USING A NATURAL LANGUAGE PROCESSING TECHNIQUE
    8.
    发明申请
    MACHINE LEARNING DATASET GENERATION USING A NATURAL LANGUAGE PROCESSING TECHNIQUE 有权

    公开(公告)号：US20210092224A1

    公开(公告)日：2021-03-25

    申请号：US16579340

    申请日：2019-09-23

    申请人： Capital One Services, LLC

    发明人： Jeffrey RULE ,  Kaitlin NEWMAN ,  Rajko ILINCIC

    IPC分类号： H04M3/24 ,  H04M3/22 ,  H04L12/58 ,  H04M3/54 ,  G10L15/30 ,  G10L15/22 ,  G10L15/18 ,  G06N20/00 ,  G06N5/04 ,  H04L29/06

    摘要： A server can receive a plurality of records at a databases such that each record is associated with a phone call and includes at least one request generated based on a transcript of the phone call. The server can generate a training dataset based on the plurality of records. The server can further train a binary classification model using the training dataset. Next, the server can receive a live transcript of a phone call in progress. The server can generate at least one live request based on the live transcript using a natural language processing module of the server. The server can provide the at least one live request to the binary classification model as input to generate a prediction. Lastly, the server can transmit the prediction to an entity receiving the phone call in progress. The prediction can cause a transfer of the call to a chatbot.

    GAPLESS AUDIO COMMUNICATION VIA DISCOURSE GAP RECOVERY MODEL
    9.
    发明申请
    GAPLESS AUDIO COMMUNICATION VIA DISCOURSE GAP RECOVERY MODEL 有权

    公开(公告)号：US20210075906A1

    公开(公告)日：2021-03-11

    申请号：US16563032

    申请日：2019-09-06

    申请人： INTERNATIONAL BUSINESS MACHINES CORPORATION

    发明人： Kaleb Walton ,  Aaron T. Wodrich ,  Jonathan D. Dunne

    IPC分类号： H04M3/22 ,  H04M3/24 ,  H04M3/493 ,  G10L15/22 ,  G10L17/22 ,  G06N20/00

    摘要： According to one embodiment, a method, computer system, and computer program product for detecting and repairing gaps within a call is provided. The present invention may include requesting a personal discourse gap recovery model (PDGRM) for participants in a call, where the PDGRM may be a machine learning model that models a user's speech patterns based on word collocation, dictionary, and speaking rate. The present invention may further comprise detecting one or more gaps in the call based on network connectivity, inserting an audio delay into the call, constructing repaired dialogue to fill at least one of the one or more gaps in the call based on the PDGRM, and inserting the repaired dialogue into the call.