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    一种使用预测神经网络进行语音识别的新方法

    公开(公告)号:KR100269254B1

    公开(公告)日:2000-10-16

    申请号:KR1019970072163

    申请日:1997-12-23

    Abstract: PURPOSE: A method for recognizing using a predictive neural network is provided to improve of an existing LPNN(Linked Predictive Neural Network) based voice recognition algorithm by using a voice recognition method. CONSTITUTION: Input voice features are normalized to voice frames(F1-F18). Each corresponding frame(F1-F18) are connected with predictive neural networks(P1-P16) of the fixed number. A predictive process is performed. A predictive value is outputted through the corresponding predictive neural network. A practical value is outputted from a corresponding frame. An accumulated predictive error is outputted by comparing the predictive value with the practical value. The accumulated predictive error is used as a reference of decision of voice recognition.

    Abstract translation: 目的:提供一种使用预测神经网络进行识别的方法,通过使用语音识别方法改进现有的基于LPNN(基于预测神经网络的链接预测神经网络)语音识别算法。 规定:输入语音功能对语音帧进行归一化(F1-F18)。 每个对应的帧(F1-F18)与固定数量的预测神经网络(P1-P16)连接。 执行预测过程。 通过相应的预测神经网络输出预测值。 从对应的帧输出实用值。 通过将预测值与实际值进行比较来输出积累的预测误差。 累积的预测误差被用作语音识别决策的参考。

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