WSEAS Transactions on Signal Processing
Print ISSN: 1790-5052, E-ISSN: 2224-3488
Volume 12, 2016
A New Statistic Feature of the Short-Time Amplitude Spectrum Values for Humanâ€™s Unvoiced Pronunciation
Authors: Xiaodong Zhuang, N. E. Mastorakis
Abstract: In this paper, a new statistic feature of the discrete short-time amplitude spectrum is discovered by experiments for the signals of unvoiced pronunciation. For the random-varying short-time spectrum, this feature reveals the relationship between the amplitudeâ€™s average and its standard for every frequency component. On the other hand, the association between the amplitude distributions for different frequency components is also studied. A new model representing such association is inspired by the normalized histogram of amplitude. By mathematical analysis, the new statistic feature discovered is proved to be necessary evidence which supports the proposed model, and also can be direct evidence for the widely used hypothesis of â€œidentical distribution of amplitude for all frequenciesâ€.