Automatic phonetic classification of vocalic allophones in Tol
Abstract
The aim of the present study involving automatic phonetic classification of /e/ and /u/ tokens in Tol is two-fold: first, I test existing claims about allophonic variation within these vowel classes, and second, I investigate allophonic variation within these vowel classes that has yet to be documented. The acoustic phonetic classifications derived in the present study contribute to a more detailed understanding of the allophonic systems operating within the Tol language. Operationalizing machine learning algorithms to investigate under-resourced, indigenous languages has the potential to provide detailed insights into the acoustic phonetic dynamics of a diverse range of vocalic systems.
Keywords
machine learning; under-resourced languages; vowels; allophones
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PDFDOI: https://doi.org/10.3765/plsa.v6i1.4977
Copyright (c) 2021 Marie Bissell

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