Paper: On the Syllabification of Phonemes

ACL ID N09-1035
Title On the Syllabification of Phonemes
Venue Human Language Technologies
Session Main Conference
Year 2009

Syllables play an important role in speech synthesis and recognition. We present sev- eral different approaches to the syllabifica- tion of phonemes. We investigate approaches based on linguistic theories of syllabification, as well as a discriminative learning technique that combines Support Vector Machine and Hidden Markov Model technologies. Our experiments on English, Dutch and German demonstrate that our transparent implemen- tation of the sonority sequencing principle is more accurate than previous implemen- tations, and that our language-independent SVM-based approach advances the current state-of-the-art, achieving word accuracy of over 98% in English and 99% in German and Dutch.