2020
DOI: 10.3389/fpsyg.2020.00214
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Multi-Talker Speech Promotes Greater Knowledge-Based Spoken Mandarin Word Recognition in First and Second Language Listeners

Abstract: Spoken word recognition involves a perceptual tradeoff between the reliance on the incoming acoustic signal and knowledge about likely sound categories and their cooccurrences as words. This study examined how adult second language (L2) learners navigate between acoustic-based and knowledge-based spoken word recognition when listening to highly variable, multi-talker truncated speech, and whether this perceptual tradeoff changes as L2 listeners gradually become more proficient in their L2 after multiple months… Show more

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Cited by 20 publications
(8 citation statements)
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References 89 publications
(157 reference statements)
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“…Wiener and colleagues (Liu & Wiener, 2020;Wiener, 2020;Wiener et al, 2018Wiener et al, , 2019Wiener & Lee, 2020) present a slightly different view of L2 tone learning, though in many ways it seems complimentary to the ASP model. They frame L2 tone-learning under the umbrella of dimension-based statistical learning (Idemaru & Holt, 2011, drawing a distinction between signal-based and knowledge-based (or probability-based) processing.…”
Section: Processing Biases Could Drive L2 Tone Word Errorsmentioning
confidence: 99%
“…Wiener and colleagues (Liu & Wiener, 2020;Wiener, 2020;Wiener et al, 2018Wiener et al, , 2019Wiener & Lee, 2020) present a slightly different view of L2 tone learning, though in many ways it seems complimentary to the ASP model. They frame L2 tone-learning under the umbrella of dimension-based statistical learning (Idemaru & Holt, 2011, drawing a distinction between signal-based and knowledge-based (or probability-based) processing.…”
Section: Processing Biases Could Drive L2 Tone Word Errorsmentioning
confidence: 99%
“…To check the robustness of our results, following the suggestion of previous studies ( Wiener and Lee, 2020 ; Chin et al, 2021 ), we conducted supplementary analysis with random effects models to test our hypotheses. The results are presented in Table 4 .…”
Section: Resultsmentioning
confidence: 99%
“…We further conducted random effects regression models as supplementary analysis following previous studies ( 66 , 67 ). The results are demonstrated in Table 4 .…”
Section: Resultsmentioning
confidence: 99%