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Application of a neural network to on-line analysis of non-stationary (speech) signals represented by their wavelet transform I. Basic principles

机译:神经网络在其小波变换中表示的非静止(语音)信号对非静止(语音)信号的在线分析。基本原理

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摘要

A property-modification detection method for non-stationary signals is suggested, that uses wavelet decomposition and a neural network. A wavelet transformation of speech signal is given using a wavelet-packet whose structure is determined by a perceptual model.
机译:建议使用小波分解和神经网络来实现非静止信号的性质修改检测方法。 使用小波分组给出语音信号的小波变换,其结构由感知模型确定。

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