Implementation of Shakiness Inflection of Rough Variance using Surface Fractal on Double-branch-taction Locality in Single-Syllable

Abstract

In speech sound technology, single-syllable plays an important role in speaking a language. Single-syllable seeks to investigate the fractal surface, one of the basic units that make up a series of words. In syllable-timed, a certain amount of surface fractal was verified for continuous bleed conversion by examining the reflex-angle spark-rough status. The scattered signal generated by the single-syllable showed a gleam-inequality awakening level (GIAL) for a few seconds on the fractal surface and confirmed the formation of several identical bleed perception lineaments. The configuration of spark-rough at the awakening level identified the phenomenon conditions of the gleam quadrilateral-dot using various single-syllable techniques. The degree of scattering of monosyllabic words was determined by varying the number of square-shaped dots at each level. The maximum average value formed in the spark-rough state was considered the result of the rapidly converted output in GIAL. The bleed quadrilateral-dot in the rough state has a far-variance value of Bl-AL-FA-ΘMAX-AVG of 4.22±(-1.62) units. The convenient-variance value of Bl-AL-CO-ΘMAX-AVG in bleed quadrilateral-dot is 0.51±(-0.05). The flank variance value of Bl-AL-BL-ΘMAX-AVG in bleed quadrilateral-dot is 2.80±0.74. The vicinage-variance value of Bl-AL-VI-ΘMAX-AVG in bleed quadrilateral-dot is 0.09±(-0.03). GIAL formed in a spark-rough state expanded the awakening level to form short sentences-dots. It can be inferred that spark lineaments forming short sentences can be made into bleed awakening lineaments in square form. Changes to various syllable-timed single-syllable techniques create unbalanced abilities between single-syllables required depending on the level of awakening and confirm GIAL. Through this method, it was possible to characterize bleed awakening lineaments in a single-syllable and paved the way for spark-rough to be used as a reference data.