SYSTEMS AND METHODS FOR FILTERING UNWANTED SOUNDS FROM A CONFERENCE CALL USING VOICE SYNTHESIS

    公开(公告)号:US20220383888A1

    公开(公告)日:2022-12-01

    申请号:US17884851

    申请日:2022-08-10

    Abstract: To filter unwanted sounds from a conference call, a first voice signal is captured by a first device during a conference call and converted into corresponding text, which is then analyzed to determine that a first portion of the text was spoken by a first user and a second portion of the text was spoken by a second user. If the first user is relevant to the conference call while the second user is not, the first voice signal is prevented from being transmitted into the conference call, the first portion of text is converted into a second voice signal using a voice profile of the first user to synthesize the voice of the first user, and the second voice signal is then transmitted into the conference call. The second portion of text is not converted into a voice signal, as the second user is determined not to be relevant.

    Systems and methods for filtering unwanted sounds from a conference call using voice synthesis

    公开(公告)号:US11450334B2

    公开(公告)日:2022-09-20

    申请号:US17015832

    申请日:2020-09-09

    Abstract: To filter unwanted sounds from a conference call, a first voice signal is captured by a first device during a conference call and converted into corresponding text, which is then analyzed to determine that a first portion of the text was spoken by a first user and a second portion of the text was spoken by a second user. If the first user is relevant to the conference call while the second user is not, the first voice signal is prevented from being transmitted into the conference call, the first portion of text is converted into a second voice signal using a voice profile of the first user to synthesize the voice of the first user, and the second voice signal is then transmitted into the conference call. The second portion of text is not converted into a voice signal, as the second user is determined not to be relevant.

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