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The Journal of the Acoustical Society of America
Article . 2020 . Peer-reviewed
License: CC BY
Data sources: Crossref
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Preceding syllables are necessary for the accent advantage effect

Authors: Amanda, Rysling; Jason, Bishop; Charles, Clifton; Anthony, Yacovone;

Preceding syllables are necessary for the accent advantage effect

Abstract

The accent advantage effect in phoneme monitoring—faster responses to a target phoneme at the beginning of an L + H*-accented word than to a target phoneme at the beginning of an unaccented word—is viewed as a product of listeners' predictive capabilities [Cutler (1976). Percept. Psychophys. 20(1), 55–60]. However, previous studies have not established what information listeners use to form these predictions [Cutler (1987). Proceedings of the International Congress of Phonetic Sciences, pp. 84–87; Cutler and Darwin (1981). Percept. Psychophys. 29(3), 217–224]. This article presents evidence that at least the information in the syllable immediately preceding a target phoneme is necessary to cue the predictive attention allocation that underlies the accent advantage effect.

Keywords

Phonetics, Speech Perception

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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!
6
Top 10%
Average
Top 10%
hybrid