A Thai word pronunciation simulator based on DFT analysis and GA search

This paper aims to present and discuss the concept of a Thai word pronunciation simulator based on DFT (Discrete Fourier Transform) analysis and GA (Genetic Algorithm) search. By DFT analysis, the simulator converts the sound of a Thai word from a foreign leaner into its frames to get sound segments. The GA search on the sound segments generates a highest similarity sound value with a standard Thai sound. The GA search is supported by a library of original Thai word sounds. Once the simulator generates a real pronunciation of the leaner´s word, it will store the sound data to train the user. The simulations presented in this paper indicate that the proposed approach is one of the most effective strategies of structuring a language trainer.