Isolated-Word Segmentation Based on the Dynamics of the Parameters of Short Correlation Functions

摘要

The theoretical and experimental results obtained in an investigation of the dynamic behavior of short-correlation-function parameters and applied to the problem of speech-signal segmentation are described. The side maxima of the correlation functions of various quasi-periodic signals are investigated theoretically. Their dependences on the characteristics that determine the degree of signal quasi-periodicity are presented. These dependences are used to construct instrumental estimates of the degree of such parameters as the quasi-periodicity, the duration of quasi-periodicity segments, and the fundamental-tone period. The obtained estimates are interpreted for the case of voice signals, and it is shown that many important procedures used in speech technologies can be implemented on the basis of these estimates.