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A hierarchical structure for feed-forward neural networks and itsapplication to speaker-independent speech recognition

机译:前馈神经网络的分层结构及其在与说话人无关的语音识别中的应用

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A hierarchical structure for feed-forward neural networks which isa generalization of the time delay neural network (TDNN) model isproposed. A comparative experiment has been done on speaker-independentspeech recognition. A slightly better performance, compared with theTDNN model, is achieved
机译:提出了前馈神经网络的分层结构,它是时延神经网络(TDNN)模型的概括。已经进行了与说话者无关的语音识别的比较实验。与TDNN模型相比,性能略好

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