Daniel Van Niekerk(Department of Speech, Hearing and Phonetic Sciences, University College London), Anqi Xu(Department of Speech, Hearing and Phonetic Sciences, University College London), Branislav Gerazov(Faculty of Electrical Engineering and Information Technologies, University of Ss. Cyril and Methodius – Skopje), Paul Konstantin Krug(Technische Universität Dresden), Peter Birkholz(Institute of Acoustics and Speech Communication, TU Dresden) and Yi Xu(University College London)
In this study, a state-of-the-art articulatory speech synthesiser was used as the basis for simulating the exploration of CV sounds imitating speech stimuli. By adopting a relevant kinematic model and systematically reducing the search space of consonant articulatory targets, intelligible CV sounds can be found. Derivative-free optimisation strategies were evaluated to speed up the process of exploring articulatory space and the possibility of using automatic speech recognition as a means of evaluating intelligibility was explored.