King, Simon and Wrench, Alan A (1999) Dynamical system modelling of articulator movement. Proceedings of the XIVth International Congress of Phonetic Sciences. Volume 3:2259-2262, 3. pp. 2259-2262.
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.
|Divisions:||School of Health Sciences > Clinical Audiology, Speech and Language Research Centre|
|Date Deposited:||03 Oct 2011 13:03|
|Last Modified:||02 Feb 2017 15:41|
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