中科微点-全球专利检索

  1. Login
  2. Sign Up

Search Results

14 records (took 0.017 seconds)

    REAL-TIME VIDEO CONFERENCE CHAT FILTERING USING MACHINE LEARNING MODELS
    3.
    发明公开
    REAL-TIME VIDEO CONFERENCE CHAT FILTERING USING MACHINE LEARNING MODELS 审中-公开

    公开(公告)号：US20230335121A1

    公开(公告)日：2023-10-19

    申请号：US18339138

    申请日：2023-06-21

    Applicant: NVIDIA Corporation

    Inventor： Amy Rose ,  Andrew James Woodard ,  Benjemin Thomas Waine

    IPC: G10L15/18 ,  G06N3/08 ,  G10L15/16 ,  H04L51/046 ,  G10L15/22

    CPC classification number: G10L15/1815 ,  G06N3/08 ,  G10L15/16 ,  H04L51/046 ,  G10L15/22 ,  H04N7/15

    Abstract: In various examples, as a user is speaking or presenting content during an online video conference, the data stream may be processed to generate a textual representation (e.g., transcript) of the audio and/or information relating to the video. The textual representation and/or video related information may then be processed to determine a context or one or more topic(s) of discussion. Based on the determined context/topic(s), a corresponding neural network(s) may be selected. Once a neural network has been selected, comments may be retrieved from a chat feature of the application and applied to the neural network. The neural network may then output data to indicate the relevance of the comments to the determined discussion topic. Based on the relevance of the comment, the comment may be allowed, prioritized, deleted, de-emphasized, or otherwise filtered in the chat feature.

    Machine learning based generation of synthetic crowd responses
    4.
    发明授权
    Machine learning based generation of synthetic crowd responses 有权

    公开(公告)号：US11705150B2

    公开(公告)日：2023-07-18

    申请号：US17168905

    申请日：2021-02-05

    Applicant: NVIDIA Corporation

    Inventor： Benjemin Thomas Waine ,  Amy Rose ,  Andrew James Woodard

    IPC: G10L25/57 ,  G06N3/08 ,  G10L15/16 ,  G10L15/18 ,  G06N3/045

    CPC classification number: G10L25/57 ,  G06N3/045 ,  G06N3/08 ,  G10L15/16 ,  G10L15/18

    Abstract: Systems and methods for generating real-time synthetic crowd responses for events, to augment the experience of event participants, remote viewers, and the like. Various sensors monitor the event in question, and various event properties are derived from their output using an event state model. These event properties, along with various event parameters such as score, time remaining, etc., are then input to a machine learning model that determines a real-time synthetic audience reaction tailored to the immediate state of the event. Reaction parameters are used to generate a corresponding crowd or audience audio signal, which may be broadcast to event participants, viewers, spectators, or anyone who may be interested. This instantaneous, realistic crowd reaction more closely simulates the experience of events with full on-site audiences, enhancing the viewing experience of both event participants and those watching.

    AD HOC NETWORKS AND AUTHENTICATION SERVICES FOR VERIFYING CONTACTLESS DELIVERIES
    6.
    发明申请
    AD HOC NETWORKS AND AUTHENTICATION SERVICES FOR VERIFYING CONTACTLESS DELIVERIES 有权

    公开(公告)号：US20210377246A1

    公开(公告)日：2021-12-02

    申请号：US16884451

    申请日：2020-05-27

    Applicant: NVIDIA Corporation

    Inventor： Andrew Woodard ,  Benjemin Thomas Waine ,  Amy Rose

    IPC: H04L29/06 ,  G06Q50/28 ,  H04L12/58 ,  H04W84/18 ,  G06K19/06

    Abstract: Verified deliveries are commonplace for various exchanges of goods, packages, and/or other items, but often require close proximity or contact between the exchanging parties or devices associated therewith—e.g., for digital or physical signature. To remedy this, system and methods described herein may leverage an ad hoc network established between a device of a provider and a device of a consumer for exchanging codes or tokens—that may be validated by an authentication service—to provide a verification process during an exchange between the parties. As a result, a safe distance may be maintained between the parties throughout the transaction—thereby avoiding exchange of germs while also increasing safety and security of both parties—and the verification process may be more reliable and secure.

    MACHINE LEARNING BASED GENERATION OF SYNTHETIC CROWD RESPONSES
    10.
    发明申请
    MACHINE LEARNING BASED GENERATION OF SYNTHETIC CROWD RESPONSES 有权

    公开(公告)号：US20220254368A1

    公开(公告)日：2022-08-11

    申请号：US17168905

    申请日：2021-02-05

    Applicant: NVIDIA Corporation

    Inventor： Benjemin Thomas Waine ,  Amy Rose ,  Andrew James Woodard

    IPC: G10L25/57 ,  G06N3/08 ,  G06N3/04 ,  G10L15/18 ,  G10L15/16

    Abstract: Systems and methods for generating real-time synthetic crowd responses for events, to augment the experience of event participants, remote viewers, and the like. Various sensors monitor the event in question, and various event properties are derived from their output using an event state model. These event properties, along with various event parameters such as score, time remaining, etc., are then input to a machine learning model that determines a real-time synthetic audience reaction tailored to the immediate state of the event. Reaction parameters are used to generate a corresponding crowd or audience audio signal, which may be broadcast to event participants, viewers, spectators, or anyone who may be interested. This instantaneous, realistic crowd reaction more closely simulates the experience of events with full on-site audiences, enhancing the viewing experience of both event participants and those watching.

Patent Agency Ranking