MACHINE LEARNING-BASED AUDIO MANIPULATION USING VIRTUAL BACKGROUNDS FOR VIRTUAL MEETINGS

    公开(公告)号:US20230132415A1

    公开(公告)日:2023-05-04

    申请号:US17513033

    申请日:2021-10-28

    Abstract: In one embodiment, a videoconference service determines a selection of a virtual background for a videoconference from a particular participant of a plurality of participants in the videoconference. The videoconference service determines an audio context filter that is associated with a visual context of the virtual background. The videoconference service modifies an audio stream of the videoconference into a modified audio stream according to the audio context filter. The videoconference service presents, to the plurality of participants during the videoconference, the particular participant using the virtual background and the modified audio stream. In an embodiment, the videoconference service ascertains the visual context of the virtual background based on applying a machine learning model to the virtual background.

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