Abstract. This paper presents our current work into developing an evo-lutionary computing approach to articulatory speech synthesis. Specifi-cally, we implement genetic algorithms to find optimised parameter com-binations for the re-synthesis of a vowel using the articulatory synthesiser PRAAT. Our framework analyses the target sound using Fast Fourier Transform (FFT) to obtain formant information, which is then har-nessed in a fitness function applied to a real valued genetic algorithm using a generation size of 75 sounds over 50 generations. In this paper, we present three differently configured genetic algorithms (GAs) and of-fer a comparison of their suitability for elevating the average fitness of the re-synthesised sounds
