HARTFEX: a multi-dimentional system of HMM based recognisers for articulatory features extraction

HARTFEX is a novel system that employs several tiers of HMMs recognisers that work in parallel to extract multidimentions of articulatory features. The features segments on the different tiers overlap to account for the coarticulation phenomena. The overlap and precedence relation among features are applied to a phonological parser for further processing. HARTFEX system is built on a modified version of HTK toolkit that allows it to perform multi-thread multi-feature recognition. The system testing results are highly promising. The recognition accuracy for vowel is 98\% and for rhotic is 93%. Current work investigates inherited interdependencies of extracting different feature sets.