发明授权
- 专利标题: Neural network for classifying speech and textural data based on agglomerates in a taxonomy table
- 专利标题(中): 基于分类表中的聚集分类语音和纹理数据的神经网络
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申请号: US11659962申请日: 2005-08-09
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公开(公告)号: US08428935B2公开(公告)日: 2013-04-23
- 发明人: Paul Waelti , Carlo A. Trugenberger , Frank Cuypers , Christoph P. Waelti
- 申请人: Paul Waelti , Carlo A. Trugenberger , Frank Cuypers , Christoph P. Waelti
- 申请人地址: CH Buchs
- 专利权人: Infocodex AG
- 当前专利权人: Infocodex AG
- 当前专利权人地址: CH Buchs
- 代理机构: Oblon, Spivak, McClelland, Maier & Neustadt, L.L.P.
- 优先权: WOPCT/EP04/051798 20040813
- 国际申请: PCT/EP2005/053921 WO 20050809
- 国际公布: WO2006/018411 WO 20060223
- 主分类号: G06F17/21
- 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.
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