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    • 124. 发明授权
    • Extracting classifying data in music from an audio bitstream
    • 从音频比特流中提取音乐中的分类数据
    • US07295977B2
    • 2007-11-13
    • US09939954
    • 2001-08-27
    • Brian WhitmanGary W. FlakeStephen R. Lawrence
    • Brian WhitmanGary W. FlakeStephen R. Lawrence
    • G10L15/16G10H7/10
    • G10L17/02G10L17/26G10L25/30
    • The method of the present invention utilizes machine-learning techniques, particularly Support Vector Machines in combination with a neural network, to process a unique machine-learning enabled representation of the audio bitstream. Using this method, a classifying machine is able to autonomously detect characteristics of a piece of music, such as the artist or genre, and classify it accordingly. The method includes transforming digital time-domain representation of music into a frequency-domain representation, then dividing that frequency data into time slices, and compressing it into frequency bands to form multiple learning representations of each song. The learning representations that result are processed by a group of Support Vector Machines, then by a neural network, both previously trained to distinguish among a given set of characteristics, to determine the classification.
    • 本发明的方法利用机器学习技术,特别是与神经网络相结合的支持向量机来处理独特的机器学习使能的音频比特流表示。 使用这种方法,分类机能够自主地检测诸如艺术家或流派之类的音乐的特征,并相应地对其进行分类。 该方法包括将音乐的数字时域表示变换为频域表示,然后将该频率数据划分为时间片,并将其压缩为频带,以形成每首歌曲的多个学习表示。 结果的学习表示由一组支持向量机处理,然后由神经网络处理,两者都被训练以区分给定的一组特征,以确定分类。
    • 130. 发明授权
    • Community network navigation
    • 社区网路导航
    • US07930730B2
    • 2011-04-19
    • US11640698
    • 2006-12-18
    • Brett David BrewerGary W. Flake
    • Brett David BrewerGary W. Flake
    • G06F15/16
    • H04L41/22G06Q30/02H04L67/24H04L67/306
    • Methods and computer-readable media are provided for navigating a community network environment and viewing various network attributes at various network zoom levels. A user interface is displayed that includes a representation of each community network participant, with each representation including a community network attribute. A request is received to zoom the user interface to view the community network at various zoom levels. In response to the request, the user interface is fluidly zoomed and additional community network attributes are displayed corresponding to each community network participant at each of the zoom levels.
    • 提供方法和计算机可读介质用于导航社区网络环境并且以各种网络缩放级别查看各种网络属性。 显示包括每个社区网络参与者的表示的用户界面,每个表示包括社区网络属性。 收到请求以放大用户界面,以各种缩放级别查看社区网络。 响应于该请求,用户界面被流畅地放大,并且在每个缩放级别处对应于每个社区网络参与者显示额外的社区网络属性。