Probabilistic Modeling of Tone Perception: Autosegmental "targets" are insufficient
DOI:
https://doi.org/10.3765/exabs.v0i0.558Abstract
Existing tone perception models simply match f0-value strings of stimuli to category templates. Here we propose probabilistic models of Thai tone perception motivated by phonological theory: tone categories are defined by High(H) and Low(L) target combinations associated with syllable moras. Category specific prior probability distributions are computed over these target (f0-value) sets; then, the most likely category of any given stimulus is computed. Probabilities computed by Model 1 are over targets (accuracy: 36.36%); Model 2 are over slopes between targets (accuracy: 63.6%). Overall, this research shows that phonological representations of a single cue are insufficient to account for tone perception.Downloads
Published
2011-07-06
Issue
Section
Articles
License
Published by the LSA with permission of the author(s) under a CC BY 4.0 license.