MESSAGE BUS SUBSCRIPTION MANAGEMENT WITH TELEMETRY INFORM MESSAGE

    公开(公告)号:US20230025233A1

    公开(公告)日:2023-01-26

    申请号:US17385457

    申请日:2021-07-26

    Abstract: In one embodiment, a device maintains a buffer of historical telemetry data of a particular type of telemetry. The device obtains new telemetry data of the particular type of telemetry. The device makes a state evaluation by comparing the new telemetry data to the buffer, to determine whether the new telemetry data is an outlier. The device sends a message indicative of the new telemetry data to a message bus for delivery to a recipient that is not subscribed to receive telemetry data of the particular type of telemetry, when the device determines that the new telemetry data is an outlier.

    Proactive audio optimization for conferences

    公开(公告)号:US11689666B2

    公开(公告)日:2023-06-27

    申请号:US17355352

    申请日:2021-06-23

    CPC classification number: H04M3/568 H04M2201/41

    Abstract: In one embodiment, a device obtains audio data from one or more past conferences. A prediction model that predicts when participants of a conference will speak is generated based on the audio data from the one or more past conferences. The device uses the prediction model to predict a speech distribution for participants of a particular conference. Then, the device proactively optimizes audio parameters of the particular conference based on its predicted speech distribution.

    PROACTIVE AUDIO OPTIMIZATION FOR CONFERENCES

    公开(公告)号:US20220417364A1

    公开(公告)日:2022-12-29

    申请号:US17355352

    申请日:2021-06-23

    Abstract: In one embodiment, a device obtains audio data from one or more past conferences. A prediction model that predicts when participants of a conference will speak is generated based on the audio data from the one or more past conferences. The device uses the prediction model to predict a speech distribution for participants of a particular conference. Then, the device proactively optimizes audio parameters of the particular conference based on its predicted speech distribution.

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