King, SimonWrench, Alan A.2018-06-292018-06-291999King, S. & Wrench, A. (1999) Dynamical system modelling of articulator movement, Proceedings of the XIVth International Congress of Phonetic Sciences. Volume 3:2259-2262, vol. 3, pp. 2259-2262.https://eresearch.qmu.ac.uk/handle/20.500.12289/2548We describe the modelling of articulatory movements using (hidden) dynamical system models trained on Electro-Magnetic Articulograph (EMA) data. These models can be used for automatic speech recognition and to give insights into articulatory behaviour. They belong to a class of continuous-state Markov models, which we believe can offer improved performance over conventional Hidden Markov Models (HMMs) by better accounting for the continuous nature of the underlying speech production process - that is, the movements of the articulators. To assess the performance of our models, a simple speech recognition task was used, on which the models show promising results.2259-2262article