DEEPFAKE DETECTION USING SYNCHRONOUS OBSERVATIONS OF MACHINE LEARNING RESIDUALS

    公开(公告)号:US20240127630A1

    公开(公告)日:2024-04-18

    申请号:US17967254

    申请日:2022-10-17

    CPC classification number: G06V40/40 G06V20/46 G06V40/168 G06V40/172

    Abstract: Systems, methods, and other embodiments associated with computer deepfake detection are described. In one embodiment, a method includes converting audio-visual content of a person delivering a speech into a set of time series signals. Residual time series signals of residuals that indicate an extent to which the time series signals differ from machine learning estimates of authentic delivery of the speech by the person are generated. Residual values from one synchronous observation of the residual time series signals are placed into an array of residual values for a point in time. A sequential analysis of the residual values of the array is performed to detect an anomaly in the residual values for the point in time. In response to detection of the anomaly, an alert that deepfake content is detected in the audio-visual content is generated.

    ACOUSTIC DETECTION OF CARGO MASS CHANGE
    3.
    发明公开

    公开(公告)号:US20230358597A1

    公开(公告)日:2023-11-09

    申请号:US18098277

    申请日:2023-01-18

    CPC classification number: G01H3/08 G06F17/14 G06F17/18 G08B21/00

    Abstract: Systems, methods, and other embodiments associated with acoustic detection of changes in mass of cargo carried by a vehicle are described herein. In one example method for acoustic cargo surveillance, a first acoustic output of a vehicle carrying cargo at a first time of surveillance of the vehicle is recorded. Then, a second acoustic output of the vehicle at a subsequent time in the surveillance of the vehicle carrying the cargo is recorded. A change in a mass of the cargo carried by the vehicle is acoustically detected based at least on an acoustic change between the first acoustic output and the second acoustic output. An electronic alert is generated that the mass of the cargo has changed based on the acoustic change.

    ACOUSTIC FINGERPRINTING
    4.
    发明公开

    公开(公告)号:US20230358872A1

    公开(公告)日:2023-11-09

    申请号:US17735245

    申请日:2022-05-03

    CPC classification number: G01S7/52001 G01S15/89 G01S7/52004

    Abstract: Systems, methods, and other embodiments associated with acoustic fingerprint identification of devices are described. In one embodiment, a method includes generating a target acoustic fingerprint from acoustic output of a target device. A similarity metric is generated that quantifies similarity of the target acoustic fingerprint to a reference acoustic fingerprint of a reference device. The similarity metric is compared to a threshold. In response to a first comparison result of the comparing of the similarity metric to the threshold, the target device is indicated to match the reference device. In response to a second comparison result of the comparing of the similarity metric to the threshold, it is indicated that the target device does not match the reference device.

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