ITHEA® International Journal
"Information Theories and Applications"
2022, Volune 29, Nimber 2
A Method of Increasing the Accuracy of Segmentation of a Speech Signal Based on Its Fractal Characteristics
Yana Bielozorova
Copy Citation Text:
Yana Bielozorova, "A Method of Increasing the Accuracy of Segmentation of a Speech Signal Based on Its Fractal Characteristics" IJ ITA, Vol. 29, Issue 2, pp. 159-186. (2022)
DOI: https://doi.org/10.54521/ijita29-02-p03
Abstract:
The paper considers the analysis of approaches to the segmentation of the speech signal into vocalized and not vocalized fragments. The necessity of improving the accuracy of segmentation due to a more accurate description of the process of speech signal representation is shown. A rational method for calculating the fractal dimension to increase the accuracy of the speech signal segmentation process has been determined.
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