On the effects of short-term spectrum smoothing in channel normalization

We present a simple analysis showing that channel normalization techniques are less effective when applied to spectral energies obtained by (weighted) summation of components of the short-time Fourier power spectrum of speech. We show that applying channel normalization processing prior to critical band integration or linear predictive all-pole modeling improves the effectiveness of the techniques.