首页> 外国专利> PROVIDING FEEDBACK BY EVALUATING MULTI-MODAL DATA USING MACHINE LEARNING TECHNIQUES

PROVIDING FEEDBACK BY EVALUATING MULTI-MODAL DATA USING MACHINE LEARNING TECHNIQUES

机译:通过使用机器学习技术评估多模态数据来提供反馈

摘要

Methods, apparatus, and processor-readable storage media for evaluations performed by applying machine learning and artificial intelligence techniques to multi-modal data are provided herein. An example computer-implemented method includes determining audio attributes associated with an instruction event by applying machine learning techniques to audio data captured in connection with the event; determining video attributes associated with the event by applying machine learning techniques to video data captured in connection with the event; determining image attributes associated with the event by applying machine learning techniques to image data captured in connection with the event; determining context-based attributes associated with the instruction event by generating and processing audience responses to dynamic context-based audience queries in connection with the event; generating an evaluation score attributed to at least one instructor of the event based at least in part on the audio attributes, video attributes, image attributes, and context-based attributes; and outputting the evaluation score.
机译:本文提供了用于通过将机器学习和人工智能技术应用于多模式数据而执行的评估的方法,装置和处理器可读存储介质。示例计算机实现的方法包括:通过将机器学习技术应用于与事件相关联而捕获的音频数据,来确定与指令事件相关联的音频属性;以及通过将机器学习技术应用于与事件有关的捕获视频数据来确定与事件相关的视频属性;通过将机器学习技术应用于与事件有关的捕获图像数据来确定与事件相关的图像属性;通过生成和处理针对与事件相关的基于动态上下文的受众查询的受众响应,来确定与指令事件相关的基于上下文的属性;至少部分地基于音频属性,视频属性,图像属性和基于上下文的属性,产生归因于事件的至少一位指导者的评估分数;并输出评估分数。

著录项

  • 公开/公告号US2020250608A1

    专利类型

  • 公开/公告日2020-08-06

    原文格式PDF

  • 申请/专利权人 DELL PRODUCTS L.P.;

    申请/专利号US201916263473

  • 申请日2019-01-31

  • 分类号G06Q10/06;G06N20;G06F16/9038;G06F16/9032;

  • 国家 US

  • 入库时间 2022-08-21 11:20:11

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