公开(公告)号：US20200272409A1

公开(公告)日：2020-08-27

申请号：US16285941

申请日：2019-02-26

Applicant: Nvidia Corporation

Inventor： Utkarsh Vaidya ,  Sumit Bhattacharya

IPC: G06F3/16 ,  G06N3/04 ,  G06N7/00

Abstract: The disclosure is directed to a process that can predict an audio glitch, and then attempt to preempt the audio glitch. The process can monitor the systems, processes, and execution threads on a larger system or device, such as a mobile device or an in-vehicle device. Using a learning algorithm, such as deep neural network (DNN), the information collected can generate a prediction of whether an audio glitch is likely to occur. An audio glitch can be an audio underrun condition. The process can use a second learning algorithm, which also can be a DNN, to generate recommended system adjustments that can attempt to prevent the audio glitch from occurring. The recommendations can be for various systems and components on the device, such as changing the processing system frequency, the memory frequency, and the audio buffer size. After the audio underrun condition has abated, the system adjustments can be reversed fully or in steps to return the system to its state prior to the system adjustments.