Symmetric Technique of Formant Transitions Generation for Using in Speech Synthesis of Arabic Language

Abstract

The objective of this work is the elaboration of a vocal communication aid system for the blind in the Arab world, which is at the same time used as a system for learning Arabic for them or for non-native 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 sub-syllable 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 (CV) is to use mathematical symmetry from (VC), which as a result obtained the construction of a phonetic lexicon based on a reduced number of phonemes, which is 124 units; And improving the patterns resulting from inserting formula transitions into (VC) generated from their counterpart (CV) using this feature. Finally, the implications of this after including the linear smoothing stage (Dutoit, 1994) are to obtain speech outputs that resemble natural speech as much as possible without noise (Millstein, 2020), continuous, and intelligible at different levels of language that are able to be employed in synthesising intelligible speech, for blind individuals in the Arab community, noting that this method is for all languages of the world in terms of producing the quality of speech.