Segmentation of isolated words based on dynamics of parameters of short correlation functions

摘要

In the paper, results of theoretical and experimental studies of dynamics of parameters of short correlation functions of speech signals are exposed. We present the results of the theoretical investigation of the dependence of the maxima of correlation functions of quasi-periodic signals in a general form on the characteristics defining the degree of their quasi-periodicity. Based on these dependences, estimates for the parameters of the quasi-periodicity degree, of the length of quasi-periodic intervals, of the main period, etc. are constructed. The obtained estimates are interpreted in the case of speech signals, and it is shown that many important parameters used in speech technologies can be calculated from them. Experimental results on segmentation of isolated words into separate phonemes are given as an example of efficiency of the approach based on the analysis of correlation functions. It is shown that the segmentation based on monitoring of singularities of dynamics of parameters of short correlation turns out to be stable and adequate to perception.