Phonetic stability predicts individual differences in acoustic-phonetic cue weighting.

IF 3.1 3区 心理学 Q1 PSYCHOLOGY, EXPERIMENTAL
Anne Marie Crinnion, James S Magnuson, Emily B Myers
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引用次数: 0

Abstract

When processing speech, not every listener relies to the same degree on the various available types of information. It is unknown, however, whether differences in cue reliance reflect chronic or task-specific preferences of the individual. In a two-session study, we assessed how reliance on top-down (semantic) and bottom-up (acoustic-phonetic) cues differed across individuals in a cue-weighting task and how these patterns of cue weighting related to other independent measures of top-down and bottom-up cue use. We assessed semantic cue weighting by measuring semantic priming in a lexical decision task and we assessed the stability and gradience of listeners' acoustic-phonetic sensitivity using a visual analogue scale task on two phonetic contrasts. We found that individuals who relied more on bottom-up cues when listening to sentences also had more consistent response patterns in our phonetic task. This finding suggests that individuals who rely more on acoustic-phonetic information when listening to sentences may do so because they have more stable low-level representations. Additionally, these results provide external validity as to the types of individual differences measures we assess, particularly in more naturalistic, sentence-listening contexts.

语音稳定性预测了语音提示权重的个体差异。
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来源期刊
CiteScore
6.70
自引率
2.90%
发文量
165
期刊介绍: The journal provides coverage spanning a broad spectrum of topics in all areas of experimental psychology. The journal is primarily dedicated to the publication of theory and review articles and brief reports of outstanding experimental work. Areas of coverage include cognitive psychology broadly construed, including but not limited to action, perception, & attention, language, learning & memory, reasoning & decision making, and social cognition. We welcome submissions that approach these issues from a variety of perspectives such as behavioral measurements, comparative psychology, development, evolutionary psychology, genetics, neuroscience, and quantitative/computational modeling. We particularly encourage integrative research that crosses traditional content and methodological boundaries.
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