发明授权
US08428935B2 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

Neural network for classifying speech and textural data based on agglomerates in a taxonomy table
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.
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