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Segmental versus prosodic predictors of perceived accentedness

Authors: Elizabeth A. McCullough; Richard Wright;

Segmental versus prosodic predictors of perceived accentedness

Abstract

Previous work has identified both segmental and prosodic influences on the perceived foreign accentedness of non-native speakers, but their relative contributions remain poorly understood, in part because they are often investigated independently. In this study, both segmental and prosodic properties of word-length stimuli were assessed. Native English-speaking listeners rated the accentedness of trochaic English words produced by talkers from four language backgrounds: Hindi, Korean, Mandarin, and Spanish. Each token’s deviation from native English productions was quantified for two segmental properties (VOT and vowel quality) and three prosodic properties (ratios of duration, intensity, and f0 across the two syllables). For each language background, a linear mixed-effects regression model was created to predict accentedness ratings from the phonetic deviations, and the significance of each fixed effect was examined. In each model, the significant predictors included both segmental and prosodic properties. For L1 Hindi and L1 Spanish talkers, the most influential predictor was segmental; however, for L1 Korean and L1 Mandarin talkers, the most influential predictor was prosodic. Thus, even for short stimuli, both segmental and prosodic information must be considered in accounting for accentedness judgments. Listeners are sensitive to different ways that foreign accent may be manifested across different non-native backgrounds.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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