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    Automatic classification and reporting of inappropriate language in online applications
    4.
    发明授权
    Automatic classification and reporting of inappropriate language in online applications 有权

    公开(公告)号：US11458409B2

    公开(公告)日：2022-10-04

    申请号：US16884675

    申请日：2020-05-27

    申请人： NVIDIA Corporation

    发明人： Jithin Thomas ,  Neilesh Chorakhalikar ,  Ambrish Dantrey ,  Revanth Reddy Nalla ,  Prakshep Mehta

    IPC分类号： A63F13/87 ,  A63F13/79 ,  A63F13/77 ,  A63F13/71 ,  A63F13/355

    摘要： In various examples, game session audio data—e.g., representing speech of users participating in the game—may be monitored and/or analyzed to determine whether inappropriate language is being used. Where inappropriate language is identified, the portions of the audio corresponding to the inappropriate language may be edited or modified such that other users do not hear the inappropriate language. As a result, toxic behavior or language within instances of gameplay may be censored—thereby enhancing the user experience and making online gaming environments safer for more vulnerable populations. In some embodiments, the inappropriate language may be reported—e.g., automatically—to the game developer or game application host in order to suspend, ban, or otherwise manage users of the system that have a proclivity for toxic behavior.

    Emergency response vehicle detection for autonomous driving applications
    7.
    发明授权
    Emergency response vehicle detection for autonomous driving applications 有权

    公开(公告)号：US11816987B2

    公开(公告)日：2023-11-14

    申请号：US16951224

    申请日：2020-11-18

    申请人： NVIDIA Corporation

    发明人： Ambrish Dantrey ,  Atousa Torabi ,  Anshul Jain ,  Ram Ganapathi ,  Abhijit Patait ,  Revanth Reddy Nalla ,  Niranjan Avadhanam

    IPC分类号： G08G1/0965 ,  H04R3/00 ,  G08G1/0967 ,  G06N3/048

    CPC分类号： G08G1/0965 ,  G06N3/048 ,  G08G1/096708 ,  H04R3/005 ,  H04R2430/20

    摘要： In various examples, audio alerts of emergency response vehicles may be detected and classified using audio captured by microphones of an autonomous or semi-autonomous machine in order to identify travel directions, locations, and/or types of emergency response vehicles in the environment. For example, a plurality of microphone arrays may be disposed on an autonomous or semi-autonomous machine and used to generate audio signals corresponding to sounds in the environment. These audio signals may be processed to determine a location and/or direction of travel of an emergency response vehicle (e.g., using triangulation). Additionally, to identify siren types—and thus emergency response vehicle types corresponding thereto—the audio signals may be used to generate representations of a frequency spectrum that may be processed using a deep neural network (DNN) that outputs probabilities of alert types being represented by the audio data. The locations, direction of travel, and/or siren type may allow an ego-vehicle or ego-machine to identify an emergency response vehicle and to make planning and/or control decisions in response.

    Emergency Response Vehicle Detection for Autonomous Driving Applications
    8.
    发明申请
    Emergency Response Vehicle Detection for Autonomous Driving Applications 有权

    公开(公告)号：US20220157165A1

    公开(公告)日：2022-05-19

    申请号：US16951224

    申请日：2020-11-18

    申请人： NVIDIA Corporation

    发明人： Ambrish Dantrey ,  Atousa Torabi ,  Anshul Jain ,  Ram Ganapathi ,  Abhijit Patait ,  Revanth Reddy Nalla ,  Niranjan Avadhanam

    IPC分类号： G08G1/0965 ,  H04R3/00 ,  G08G1/0967 ,  G06N3/04

    摘要： In various examples, audio alerts of emergency response vehicles may be detected and classified using audio captured by microphones of an autonomous or semi-autonomous machine in order to identify travel directions, locations, and/or types of emergency response vehicles in the environment. For example, a plurality of microphone arrays may be disposed on an autonomous or semi-autonomous machine and used to generate audio signals corresponding to sounds in the environment. These audio signals may be processed to determine a location and/or direction of travel of an emergency response vehicle (e.g., using triangulation). Additionally, to identify siren types—and thus emergency response vehicle types corresponding thereto—the audio signals may be used to generate representations of a frequency spectrum that may be processed using a deep neural network (DNN) that outputs probabilities of alert types being represented by the audio data. The locations, direction of travel, and/or siren type may allow an ego-vehicle or ego-machine to identify an emergency response vehicle and to make planning and/or control decisions in response.

    AUTOMATIC CLASSIFICATION AND REPORTING OF INAPPROPRIATE LANGUAGE IN ONLINE APPLICATIONS
    9.
    发明申请
    AUTOMATIC CLASSIFICATION AND REPORTING OF INAPPROPRIATE LANGUAGE IN ONLINE APPLICATIONS 有权

    公开(公告)号：US20210370188A1

    公开(公告)日：2021-12-02

    申请号：US16884675

    申请日：2020-05-27

    申请人： NVIDIA Corporation

    发明人： Jithin Thomas ,  Neilesh Chorakhalikar ,  Ambrish Dantrey ,  Revanth Reddy Nalla ,  Prakshep Mehta

    IPC分类号： A63F13/87 ,  A63F13/79 ,  A63F13/355 ,  A63F13/71 ,  A63F13/77

    摘要： In various examples, game session audio data—e.g., representing speech of users participating in the game—may be monitored and/or analyzed to determine whether inappropriate language is being used. Where inappropriate language is identified, the portions of the audio corresponding to the inappropriate language may be edited or modified such that other users do not hear the inappropriate language. As a result, toxic behavior or language within instances of gameplay may be censored—thereby enhancing the user experience and making online gaming environments safer for more vulnerable populations. In some embodiments, the inappropriate language may be reported—e.g., automatically—to the game developer or game application host in order to suspend, ban, or otherwise manage users of the system that have a proclivity for toxic behavior.