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

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.