Inducing Probabilistic Syllable Classes Using Multivariate Clustering

An approach to automatic detection of syllable structure is presented. We demonstrate a novel application of EM-based clustering to multivariate data, exempli ed 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.

• Type: Conference
• Year: 2000
• Where: ACL
• Authors: Karin Müller, Bernd Möbius, Detlef Prescher
• Keywords: ACL 2000, ACL 2007, Probabilistic Syllable Classes, Syllable Classes, Syllable Structure