2022.05.14 10:57
Hong, Soonhyun. 2022. Roles of dynamic
properties of F2 and vowel identity in predicting preceding consonant place in
CVX in Korean spontaneous speech. Studies in Phonetics, Phonology and Morphology 28.1. 141-167. A neural
network model was trained and tested on various spectral frequencies sampled at
10% intervals from vowel onset to target to predict the preceding consonant
place (bilabial, alveolar, palatal, or velar) in CVX signals in forty-hour-long
spontaneous speech in Korean Seoul Corpus. It was found that models trained on
F2 samples taken at more than two sections between onset and target across vowel
duration predicted place more robustly than those trained on F2 samples taken singly
at onset or doubly at onset and target which locus equations are based on. It
was also found that vowel identity as an additional predictor enhanced model prediction
performance substantially better than static or dynamic F1, F3, F0, or gender.
These results show that fine-grained temporal resolution of F2 and vowel
identity may constitute major cues for preceding place in CV coarticulation. It
is suggested that F2 transitions of a phonemic vowel category preceded by consonant
place are allophonically realized as a function of the preceding place. (Inha University, Professor)
Keywords: CV coarticulation, place prediction, dynamic F2 transition, vowel identity
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