Syllabification by Phone Categorization
Computation and Language
2018-07-17 v1
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.
Cite
@article{arxiv.1807.05518,
title = {Syllabification by Phone Categorization},
author = {Jacob Krantz and Maxwell Dulin and Paul De Palma and Mark VanDam},
journal= {arXiv preprint arXiv:1807.05518},
year = {2018}
}