Guaranteed Significance Level Criterion in Automatic Speech Signal Segmentation

— The article considers the problem of automatic segmentation of a speech signal into phonetic units in conditions of their a priori uncertain spectral composition and correlation properties. A guaranteed significance level criterion is developed based on the information–theoretic approach. An example of practical application of this criterion is considered; a full-scale experiment is set up and conducted. It is shown that the proposed criterion can guarantee a stable significance level when processing speech frames of short duration.