发明名称 High-order entropy error functions for neural classifiers
摘要 An automatic speech recognition system comprising a speech decoder to resolve phone and world level information, a vector generator to generate information vectors on which a confidence measure is based by a neural network classifier (ANN). An error signal is designed which is not subject to false saturation or over specialization. The error signal is integrated into an error function which is back propagated through the ANN.
申请公布号 US2005015251(A1) 申请公布日期 2005.01.20
申请号 US20030332651 申请日期 2003.06.10
申请人 PI XIAOBO;JIA YING 发明人 PI XIAOBO;JIA YING
分类号 G10L15/06;G10L15/10;G10L15/16;(IPC1-7):G10L15/16;G10L15/00;G06F15/18;G06G7/00;G06E3/00;G06E1/00 主分类号 G10L15/06
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