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The development of lexical competition in written- and spoken-word recognition ...
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The development of lexical competition in written- and spoken-word recognition ...
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sj-docx-1-qjp-10.1177_17470218221090483 – Supplemental material for The development of lexical competition in written- and spoken-word recognition ...
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sj-docx-1-qjp-10.1177_17470218221090483 – Supplemental material for The development of lexical competition in written- and spoken-word recognition ...
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Individual Differences in Word Recognition (McMurray et al., 2014) ...
McMurray, Bob; Munson, Cheyenne; Tomblin, J. Bruce. - : ASHA journals, 2022
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Individual Differences in Word Recognition (McMurray et al., 2014) ...
McMurray, Bob; Munson, Cheyenne; Tomblin, J. Bruce. - : ASHA journals, 2022
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The profile of real-time competition in spoken and written word recognition: More similar than different ...
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8
The profile of real-time competition in spoken and written word recognition: More similar than different ...
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9
Relating dual-task and pupillometry paradigms (Colby & McMurray, 2021) ...
Colby, Sarah; McMurray, Bob. - : ASHA journals, 2021
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10
Relating dual-task and pupillometry paradigms (Colby & McMurray, 2021) ...
Colby, Sarah; McMurray, Bob. - : ASHA journals, 2021
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11
Within- and between-language competition in adult second language learners: implications for language proficiency ...
Sarrett, McCall E.; Shea, Christine; McMurray, Bob. - : Taylor & Francis, 2021
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Within- and between-language competition in adult second language learners: implications for language proficiency ...
Sarrett, McCall E.; Shea, Christine; McMurray, Bob. - : Taylor & Francis, 2021
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Cognitive and Physiological Measures of Listening Effort During Degraded Speech Perception: Relating Dual-Task and Pupillometry Paradigms
In: J Speech Lang Hear Res (2021)
Abstract: PURPOSE: Listening effort is quickly becoming an important metric for assessing speech perception in less-than-ideal situations. However, the relationship between the construct of listening effort and the measures used to assess it remains unclear. We compared two measures of listening effort: a cognitive dual task and a physiological pupillometry task. We sought to investigate the relationship between these measures of effort and whether engaging effort impacts speech accuracy. METHOD: In Experiment 1, 30 participants completed a dual task and a pupillometry task that were carefully matched in stimuli and design. The dual task consisted of a spoken word recognition task and a visual match-to-sample task. In the pupillometry task, pupil size was monitored while participants completed a spoken word recognition task. Both tasks presented words at three levels of listening difficulty (unmodified, eight-channel vocoding, and four-channel vocoding) and provided response feedback on every trial. We refined the pupillometry task in Experiment 2 (n = 31); crucially, participants no longer received response feedback. Finally, we ran a new group of subjects on both tasks in Experiment 3 (n = 30). RESULTS: In Experiment 1, accuracy in the visual task decreased with increased signal degradation in the dual task, but pupil size was sensitive to accuracy and not vocoding condition. After removing feedback in Experiment 2, changes in pupil size were predicted by listening condition, suggesting the task was now sensitive to engaged effort. Both tasks were sensitive to listening difficulty in Experiment 3, but there was no relationship between the tasks and neither task predicted speech accuracy. CONCLUSIONS: Consistent with previous work, we found little evidence for a relationship between different measures of listening effort. We also found no evidence that effort predicts speech accuracy, suggesting that engaging more effort does not lead to improved speech recognition. Cognitive and physiological measures of listening effort are likely sensitive to different aspects of the construct of listening effort. SUPPLEMENTAL MATERIAL: https://doi.org/10.23641/asha.16455900
Keyword: Hearing
URL: http://www.ncbi.nlm.nih.gov/pubmed/34491779
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8642090/
https://doi.org/10.1044/2021_JSLHR-20-00583
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14
ITCP Iowa Test of Consonant Perception ...
Geller, Jason; McMurray, Bob; Holmes, Ann. - : Open Science Framework, 2020
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Pre- and post-target cortical processes predict speech-in-noise performance
In: Neuroimage (2020)
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Sometimes it is better to know less: How known words influence referent selection and retention in 18 to 24-month-old children
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Dynamic EEG analysis during language comprehension reveals interactive cascades between perceptual processing and sentential expectations.
In: Brain Lang (2020)
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Reinforced statistical learning of auditory categories: A preliminary report of cognitive, cortical and computational mechanisms
McMurray, Bob [Verfasser]; Chiu, Samantha [Verfasser]; Freeman, John [Verfasser]. - Aachen : Universitätsbibliothek der RWTH Aachen, 2019
DNB Subject Category Language
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Language acquisition as skill learning: The development of real-time processing ...
Mcmurray, Bob. - : Unpublished, 2019
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How do we do it? Real-time processing in speech perception: Implications for psycholinguistics, development, phonology and neuroscience ...
McMurray, Bob. - : Unpublished, 2019
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