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In this paper, a new statistic feature of the discrete short-time amplitudespectrum is discovered by experiments for the signals of unvoicedpronunciation. For the random-varying short-time spectrum, this feature revealsthe relationship between the amplitude's average and its standard for everyfrequency component. On the other hand, the association between the amplitudedistributions for different frequency components is also studied. A new modelrepresenting such association is inspired by the normalized histogram ofamplitude. By mathematical analysis, the new statistic feature discovered isproved to be necessary evidence which supports the proposed model, and also canbe direct evidence for the widely used hypothesis of "identical distribution ofamplitude for all frequencies".

A New Statistic Feature of the Short-Time Amplitude Spectrum Values for Human's Unvoiced Pronunciation