首页> 外国专利> ADAPTIVE MUSIC SELECTION USING MACHINE LEARNING OF NOISE FEATURES, MUSIC FEATURES AND CORRELATED USER ACTIONS

ADAPTIVE MUSIC SELECTION USING MACHINE LEARNING OF NOISE FEATURES, MUSIC FEATURES AND CORRELATED USER ACTIONS

机译:自适应音乐选择使用噪声功能的机器学习,音乐功能和相关的用户动作

摘要

An adaptive music system (110) includes at least one processing circuit (112) operative to characterize ambient noise features of digitized ambient noise obtained from a microphone circuit associated with a user device (100) and characterizes music features of digitized music being played through the user device to a speaker. The at least one processing circuit is further operative to generate a music playout command responsive to processing the characterized ambient noise features and the characterized music features through a machine learning model that has been trained based on a combination of historical user actions to control music playout, historically characterized ambient noise features that are correlated in time to the historical user actions, and historically characterized music features that are correlated in time to the historical user actions. The at least one processing circuit is further operative to control music playout through the user device responsive to the music playout command.
机译:自适应音乐系统(110)包括至少一个处理电路(112),其可操作以表征从与用户设备(100)相关联的麦克风电路获得的数字化环境噪声的环境噪声特征,并表征了通过播放的数字化音乐的音乐特征用户设备到扬声器。至少一个处理电路还可操作以响应于处理所表征的环境噪声特征和所表征的音乐特征,通过基于历史用户动作的组合来处理所表征的环境噪声特征和所表征的音乐功能来生成所表征的环境噪声功能和所表征的音乐功能,以控制音乐播放的历史用户动作的组合,历史上表现了与历史用户动作的时间相关的环境噪声功能,历史上表征了与历史用户动作的时间相关联。至少一个处理电路还可操作以响应于音乐播放命令通过用户设备控制音乐播放。

著录项

  • 公开/公告号WO2021209138A1

    专利类型

  • 公开/公告日2021-10-21

    原文格式PDF

  • 申请/专利权人 TELEFONAKTIEBOLAGET LM ERICSSON (PUBL);

    申请/专利号WO2020EP60722

  • 发明设计人 ÖKVIST PETER;ARNGREN TOMMY;

    申请日2020-04-16

  • 分类号G06F16/683;H03G3/32;

  • 国家 EP

  • 入库时间 2022-08-24 21:51:46

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