The Symmetric Technique of Formant Transition Generation for Use in Speech Synthesis in the Arabic

Abstract

The objective of this work is to elaborate on a vocal communication aid system for blind individuals in the Arab world, which is also used as a system for learning Arabic for both individuals and nonnative speakers. This system is a result of the development of a speech synthesizer for the Arabic language, which is based on the concatenative synthesis method (end-to-end speech data collection (Eskenazi, Levow, Meng, Parent, & Suendermann, 2013)) of subsyllable sound units typically stored in digital wave format (Vaseghi, 2008), obtained using software called PRAAT (Gold, Morgan, & Ellis, 2011; Pleva, Juhár, & Thiessen, 2015)) from a natural language corpus (Chou, Tseng, & Lee, 2002). The treatments in this study took place in different phases (العماري, 2021). Text analysis techniques are responsible for converting incoming text into a linguistic representation that encodes information about how the input text should be pronounced (Shiga, Ni, Tachibana, & Okamoto, 2020). The method used to produce missing phonetic units in syllable counts (CVs) is to use mathematical symmetry from VCs, which results in the construction of a phonetic lexicon based on a reduced number of phonemes, which is 124, and improve the patterns resulting from inserting formula transitions into VCs generated from their counterpart (CVs) using this feature. Finally, after including the linear smoothing stage (Dutoit, 1994), speech outputs that resemble natural speech as much as possible without noise are obtained (Millstein, 2020); these outputs can be continuous and intelligible at different levels of language that can be employed in synthesizing intelligible speech for blind individuals in the Arab community, noting that this method is useful for all languages of the world in terms of producing the quality of speech.