Neural network for classifying speech and textural data based on agglomerates in a taxonomy table
    1.
    发明授权
    Neural network for classifying speech and textural data based on agglomerates in a taxonomy table 有权
    基于分类表中的聚集分类语音和纹理数据的神经网络

    公开(公告)号:US08428935B2

    公开(公告)日:2013-04-23

    申请号:US11659962

    申请日:2005-08-09

    IPC分类号: G06F17/21 G06F17/20 G06F17/27

    摘要: A speech and textual analysis device and method for forming a search and/or classification catalog. The device is based on a linguistic database and includes a taxonomy table containing variable taxon nodes. The speech and textual analysis device includes a weighting module, a weighting parameter being additionally assigned to each stored taxon node to register recurrence frequency of terms in the linguistic and/or textual data that is to be classified and/or sorted. The speech and/or textual analysis device includes an integration module for determining a predefinable number of agglomerates based on the weighting parameters of the taxon nodes in the taxonomy table and at least one neuronal network module for classifying and/or sorting the speech and/or textual data based on the agglomerates in the taxonomy table.

    摘要翻译: 用于形成搜索和/或分类目录的语音和文本分析装置和方法。 该设备基于语言数据库,并且包括包含可变分类子节点的分类表。 语音和文本分析设备包括加权模块,加权参数被附加地分配给每个存储的分类单元以记录将被分类和/或分类的语言和/或文本数据中的术语的再现频率。 语音和/或文本分析装置包括用于基于分类表中的分类群节点的加权参数和用于对语音进行分类和/或分类的至少一个神经元网络模块来确定聚集体的可预定数量的集成模块,和/或 基于分类表中的聚集的文本数据。