Inducing probabilistic syllable classes using multivariate clustering

Authors:
Karin Müller;Bernd Möbius;Detlef Prescher
Affiliations:
University of Stuttgart, Germany;University of Stuttgart, Germany;University of Stuttgart, Germany
Venue:
ACL '00 Proceedings of the 38th Annual Meeting on Association for Computational Linguistics
Year:
2000

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Abstract

An approach to automatic detection of syllable structure is presented. We demonstrate a novel application of EM-based clustering to multivariate data, exemplified by the induction of 3- and 5-dimensional probabilistic syllable classes. The qualitative evaluation shows that the method yields phonologically meaningful syllable classes. We then propose a novel approach to grapheme-to-phoneme conversion and show that syllable structure represents valuable information for pronunciation systems.