Hartfex: a Multi-dimentional System O Articulatory Feature

نویسنده

  • Tarek Abu-Amer
چکیده

HARTFEX is a novel system that employs several tiers of HMMs recognisers that work in parallel to extract multi-dimensions of articulatory features. The features segments on the different tiers overlap to account for the co-articulation 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.

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تاریخ انتشار 2003