MACHINE-LEARNING-MODEL BASED NAME PRONUNCIATION

    公开(公告)号:WO2022271331A1

    公开(公告)日:2022-12-29

    申请号:PCT/US2022/029521

    申请日:2022-05-17

    Abstract: A computer-implemented conferencing method is disclosed. A conference session between a user and one or more other conference participants is initiated via a computer conference application. An attribute-specific pronunciation of the user's name is determined via one or more attribute-specific-pronunciation machine-learning models previously trained based at least on one or more attributes of the one or more other conference participants. The attribute-specific pronunciation of the user's name is compared to a preferred pronunciation of the user's name via computer-pronunciation-comparison logic. Based on the attribute-specific pronunciation of the user's name being inconsistent with the preferred pronunciation of the user's name, a pronunciation learning protocol is automatically executed to convey, via the computer conference application, the preferred pronunciation of the user's name to the one or more other conference participants.

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