METHOD AND ELECTRONIC DEVICE FOR GENERATING PARTIAL VIRTUAL MODEL OF OBJECTS

    公开(公告)号:US20230162440A1

    公开(公告)日:2023-05-25

    申请号:US18156111

    申请日:2023-01-18

    CPC classification number: G06T17/00 G06T7/60 G06V10/70 H04N23/632

    Abstract: A method for generating a virtual model of objects is provided. The method includes detecting, by a first electronic device, a communication session with a second electronic device, obtaining a first set of objects displayed on the first electronic device and a second set of objects displayed on the second electronic device based on the detection of the communication session, determining a first object from the first set of objects to be mapped to a second object from the second set of objects, predicting attributes of visible portions of the first object and the second object by mapping the first object to the second object, obtaining depth information related to the first object and the second object, and generating a virtual model of the first object and the second object based on the attributes of the visible portions of the first object and the second object and the depth information related to the first object and the second object.

    METHOD AND SYSTEM FOR MITIGATING UNWANTED AUDIO NOISE IN A VOICE ASSISTANT-BASED COMMUNICATION ENVIRONMENT

    公开(公告)号:US20230215457A1

    公开(公告)日:2023-07-06

    申请号:US18084081

    申请日:2022-12-19

    CPC classification number: G10L25/30 G10L21/0208 G10L2021/02082

    Abstract: A method for mitigating unwanted audio noise in internet of things (IoT) based communication environment is provided. The method includes identifying and pairing one or more IoT devices with a voice assistant device, and then dividing the one or more paired IoT devices into a plurality of clusters. The method further includes detecting a user's location with respect to a location of the voice assistant device and then determining a cluster among the plurality of clusters corresponding to the user's location based on the detected user's location and thereafter using a recurrent neural networks (RNN) model, predicting an optimal sound output of the voice assistance device that is audible at the detected user's location. The method furthermore includes correcting the predicted optimal sound output of the voice assistance device using a sound parameter value associated with the determined cluster and a phase shift of the predicted optimal sound output.

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