Abstract: Disclosed are systems and methods including software processes executed by a server that detect audio-based synthetic speech (“deepfakes”) in a call conversation. Embodiments include systems and methods for detecting fraudulent presentation attacks using multiple functional engines that implement various fraud-detection techniques, to produce calibrated scores and/or fused scores. A computer may, for example, evaluate the audio quality of speech signals within audio signals, where speech signals contain the speech portions having speaker utterances.

Abstract: Disclosed are systems and methods including software processes executed by a server that detect audio-based synthetic speech (“deepfakes”) in a call conversation. Embodiments include systems and methods for detecting fraudulent presentation attacks using multiple functional engines that implement various fraud-detection techniques, to produce calibrated scores and/or fused scores. A computer may, for example, evaluate the audio quality of speech signals within audio signals, where speech signals contain the speech portions having speaker utterances.

Abstract: Disclosed are systems and methods including software processes executed by a server that detect audio-based synthetic speech (“deepfakes”) in a call conversation. Embodiments include systems and methods for detecting fraudulent presentation attacks using multiple functional engines that implement various fraud-detection techniques, to produce calibrated scores and/or fused scores. A computer may, for example, evaluate the audio quality of speech signals within audio signals, where speech signals contain the speech portions having speaker utterances.

Abstract: Disclosed are systems and methods including software processes executed by a server that detect audio-based synthetic speech (“deepfakes”) in a call conversation. Embodiments include systems and methods for detecting fraudulent presentation attacks using multiple functional engines that implement various fraud-detection techniques, to produce calibrated scores and/or fused scores. A computer may, for example, evaluate the audio quality of speech signals within audio signals, where speech signals contain the speech portions having speaker utterances.

Abstract: Disclosed are systems and methods including software processes executed by a server that detect audio-based synthetic speech (“deepfakes”) in a call conversation. Embodiments include systems and methods for detecting fraudulent presentation attacks using multiple functional engines that implement various fraud-detection techniques, to produce calibrated scores and/or fused scores. A computer may, for example, evaluate the audio quality of speech signals within audio signals, where speech signals contain the speech portions having speaker utterances.

Abstract: Example smart panel display apparatus and related methods are disclosed herein. An example apparatus to control a display of an electronic device includes a user presence detector to determine a presence of a user relative to the device based on image data generated by an image sensor of the device. The example apparatus includes a gaze detector to determine a direction of a gaze of the user relative to the image sensor based on the image data. The example apparatus includes a backlight manager to selectively adjust a display brightness based on the presence of the user and the direction of the gaze of the user.

Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed. In one example, a compute device to manage energy usage and compute performance includes at least one memory, instructions, and processor circuitry. The processor circuitry executes the instructions to determine a system power mode based on first telemetry data associated with the compute device. The processor circuitry executes the instructions to provide user activity data and second telemetry data associated with the compute device to a classification system. The processor circuitry executes the instructions to configure a plurality of parameters to manage power consumption and performance of the compute device based on a classification by the classification system.

Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed. In one example, a compute device to manage energy usage and compute performance includes at least one memory, instructions, and processor circuitry. The processor circuitry executes the instructions to determine a system power mode based on first telemetry data associated with the compute device. The processor circuitry executes the instructions to provide user activity data and second telemetry data associated with the compute device to a classification system. The processor circuitry executes the instructions to configure a plurality of parameters to manage power consumption and performance of the compute device based on a classification by the classification system.

Abstract: Example smart panel display apparatus and related methods are disclosed herein. An example apparatus to control a display of an electronic device includes a user presence detector to determine a presence of a user relative to the device based on image data generated by an image sensor of the device. The example apparatus includes a gaze detector to determine a direction of a gaze of the user relative to the image sensor based on the image data. The example apparatus includes a backlight manager to selectively adjust a display brightness based on the presence of the user and the direction of the gaze of the user.

Abstract: A method of rendering digital media encoded content on a client electronic device is disclosed. The digital encoded media content comprises digital encoded local media content stored on the client electronic device and/or digital encoded radio media content provided via a network from a remote computing device to the client electronic device. The method includes: indicating a radio playlist that defines a rendering sequence for the digital encoded media content; and determining if a portion of the digital encoded media content to be rendered is stored as digital local media content in a memory of the client electronic device. The digital encoded radio media content not stored as digital encoded local media content on the client electronic device is received, on the client electronic device, from the remote computing device via the network.

Abstract: An inverter system having a dc input and an ac output has a fault sensor and switching provisions for diverting current to an additional path away from overloaded semiconductors of the inverter upon a fault. The system has a resonant inductance and capacitance circuit at the dc input, whose capacitance discharges through the inductance upon a fault and recharges with an opposite polarity to apply the reverse polarity to semiconductors of the inverter in an attempt to interrupt the fault. Initially the discharge of the capacitance is blocked by a second switching circuit until the fault sensor produces a fault indication signal, so that no portion of the initial charge of the capacitance is wasted by discharging into the faulting semiconductors of the inverter before the current diverting path is established.