A Novel Algorithm for Dividing Uzbek Language Words into Syllables for Concatenative Text-to-Speech Synthesizer

Demand for multimedia systems, including speech synthesis systems, is growing rapidly to simplify and facilitate the use of rapidly evolving modern technologies. Designing text-to-speech systems capable of producing natural-sounding speech segments in the Uzbek language is a challenging and open problem. In this paper, we propose an algorithm based on concatenative methods for dividing Uzbek language words into syllables for text-to-speech synthesis. First, the electronic dictionary of the Uzbek word and syllables was developed based on the proposed algorithm. Then, the structure and characteristics of these words and syllables were analyzed. This electronic dictionary has more than 31.5 thousand words and 3 thousand syllables.

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