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arXiv · 1807.05518

Syllabification by Phone Categorization

Jacob Krantz·Maxwell Dulin·Paul De Palma·Mark VanDam
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Abstract

Syllables play an important role in speech synthesis, speech recognition, and spoken document retrieval. A novel, low cost, and language agnostic approach to dividing words into their corresponding syllables is presented. A hybrid genetic algorithm constructs a categorization of phones optimized for syllabification. This categorization is used on top of a hidden Markov model sequence classifier to find syllable boundaries. The technique shows promising preliminary results when trained and tested on English words.

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Jacob Krantz, Maxwell Dulin, Paul De Palma, Mark VanDam. 2018-07-15. Syllabification by Phone Categorization. https://doi.org/10.1145/3205651.3208781

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