Scene Recognition Method, Device and Mobile Terminal Based on Ambient Sound
    1.
    发明申请
    Scene Recognition Method, Device and Mobile Terminal Based on Ambient Sound 有权
    基于环境声音的场景识别方法,设备和移动终端

    公开(公告)号:US20150120291A1

    公开(公告)日:2015-04-30

    申请号:US14395538

    申请日:2013-04-18

    CPC classification number: G10L15/20 G10L15/16 G10L25/24 G10L25/51

    Abstract: The present document provides a scene recognition method and device based on ambient sound and a mobile terminal. The device includes: a sound collection module, a preprocessing module, a feature extraction module, a scene recognition module and a database. The method includes: collecting a sound signal; processing the sound signal into a frequency domain signal; extracting sound feature information from the frequency domain signal; inputting the sound feature information under a preset model, matching a model output result with weight values of sound sample models of scenes, and determining a scene corresponding to the sound feature information. The present document implements locating based on background sound information as the feature of the scene, so that the mobile terminal quickly and correctly recognizes the current scene under the maintaining low-consumption state.

    Abstract translation: 本文提供了一种基于环境声音和移动终端的场景识别方法和装置。 该设备包括:声音采集模块,预处理模块,特征提取模块,场景识别模块和数据库。 该方法包括:收集声音信号; 将声音信号处理成频域信号; 从频域信号中提取声音特征信息; 在预设模型下输入声音特征信息,将模型输出结果与场景的声音样本模型的权重值相匹配,并确定与声音特征信息相对应的场景。 本文件基于背景声音信息作为场景的特征实现定位,使得移动终端在维持低消耗状态下快速且正确地识别当前场景。

    Scene recognition method, device and mobile terminal based on ambient sound
    2.
    发明授权
    Scene recognition method, device and mobile terminal based on ambient sound 有权
    基于环境声音的场景识别方法,设备和移动终端

    公开(公告)号:US09542938B2

    公开(公告)日:2017-01-10

    申请号:US14395538

    申请日:2013-04-18

    CPC classification number: G10L15/20 G10L15/16 G10L25/24 G10L25/51

    Abstract: The present document provides a scene recognition method and device based on ambient sound and a mobile terminal. The device includes: a sound collection module, a preprocessing module, a feature extraction module, a scene recognition module and a database. The method includes: collecting a sound signal; processing the sound signal into a frequency domain signal; extracting sound feature information from the frequency domain signal; inputting the sound feature information under a preset model, matching a model output result with weight values of sound sample models of scenes, and determining a scene corresponding to the sound feature information. The present document implements locating based on background sound information as the feature of the scene, so that the mobile terminal quickly and correctly recognizes the current scene under the maintaining low-consumption state.

    Abstract translation: 本文提供了一种基于环境声音和移动终端的场景识别方法和装置。 该设备包括:声音采集模块,预处理模块,特征提取模块,场景识别模块和数据库。 该方法包括:收集声音信号; 将声音信号处理成频域信号; 从频域信号中提取声音特征信息; 在预设模型下输入声音特征信息,将模型输出结果与场景的声音样本模型的权重值相匹配,并且确定与声音特征信息相对应的场景。 本文件基于背景声音信息作为场景的特征来实现定位,使得移动终端在维持低消耗状态下快速且正确地识别当前场景。

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