While different automated procedures for vowel formant prediction have recently been proposed, it is unclear how reliably
these methods perform in the phonetic study of vowels in New Englishes and how such approaches could be applied to specific varieties. This
paper compares different automatic methods for vowel formant prediction in New Englishes, using manual measurements of Trinidadian English
as a baseline. The results show that all methods perform significantly better than default formant parameters often used in speech analysis
packages, and that a Bayesian formant tracker calibrated with American (US-FAVE) and Trinidadian English (TRINI-FAVE) generally provides
better results than an automatic procedure that optimizes formant ceilings on a vowel- and speaker-specific level. TRINI-FAVE measures
vowels characteristic of Trinidadian English most accurately. Phonetic studies of vowels in New Englishes can benefit from these
methods.
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This list is based on CrossRef data as of 4 july 2024. Please note that it may not be complete. Sources presented here have been supplied by the respective publishers.
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