Automatic phonetic classification of vocalic allophones in Tol

Authors

  • Marie Bissell Ohio State University

DOI:

https://doi.org/10.3765/plsa.v6i1.4977

Keywords:

machine learning, under-resourced languages, vowels, allophones

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.

Author Biography

  • Marie Bissell, Ohio State University
    Ph.D. Student, Department of Linguistics, The Ohio State University

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Published

2021-03-20

How to Cite

Bissell, Marie. 2021. “Automatic Phonetic Classification of Vocalic Allophones in Tol”. Proceedings of the Linguistic Society of America 6 (1): 403–410. https://doi.org/10.3765/plsa.v6i1.4977.