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Electrophysiological Evidence for Top-Down Lexical Influences on Early Speech Perception ...
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GetzSupplementalMaterial_rev – Supplemental material for Electrophysiological Evidence for Top-Down Lexical Influences on Early Speech Perception ...
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GetzSupplementalMaterial_rev – Supplemental material for Electrophysiological Evidence for Top-Down Lexical Influences on Early Speech Perception ...
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Electrophysiological Evidence for Top-Down Lexical Influences on Early Speech Perception ...
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Reassessing the electrophysiological evidence for categorical perception of Mandarin lexical tone: ERP evidence from native and naïve non-native Mandarin listeners [<Journal>]
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DNB Subject Category Language
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The time-course of cortical responses to speech revealed by fast optical imaging
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The time-course of speaking rate compensation: Effects of sentential rate and vowel length on voicing judgments
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Abstract:
Many sources of context information in speech (such as speaking rate) occur either before or after the phonetic cues they influence, yet there is little work examining the time-course of these effects. Here, we investigate how listeners compensate for preceding sentence rate and subsequent vowel length (a secondary cue that has been used as a proxy for speaking rate) when categorizing words varying in voice-onset time (VOT). Participants selected visual objects in a display while their eye-movements were recorded, allowing us to examine when each source of information had an effect on lexical processing. We found that the effect of VOT preceded that of vowel length, suggesting that each cue is used as it becomes available. In a second experiment, we found that, in contrast, the effect of preceding sentence rate occurred simultaneously with VOT, suggesting that listeners interpret VOT relative to preceding rate.
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Article
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URL: https://doi.org/10.1080/23273798.2014.946427 http://www.ncbi.nlm.nih.gov/pubmed/25780801 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4358767/
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Cue integration and context effects in speech: Evidence against speaking rate normalization
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Cue integration with categories: Weighting acoustic cues in speech using unsupervised learning and distributional statistics
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Continuous perception and graded categorization: Electrophysiological evidence for a linear relationship between the acoustic signal and perceptual encoding of speech
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Statistical learning of phonetic categories: Insights from a computational approach
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Integrating Connectionist Learning and Dynamic Processing: Case Studies in Speech and Lexical Development
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