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    Dynamical system modelling of articulator movement

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    king991.pdf (99.75Kb)
    Date
    1999
    Author
    King, Simon
    Wrench, Alan A.
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    Citation
    King, 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,
    Abstract
    We 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.
    URI
    https://eresearch.qmu.ac.uk/handle/20.500.12289/2548
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