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Enhanced cognitive and perceptual processing: a computational basis for the musician advantage in speech learning
Long-term music training can positively impact speech processing. A recent framework developed to explain such cross-domain plasticity posits that music training-related advantages in speech processing are due to shared cognitive and perceptual processes between music and speech. Although perceptual...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4439769/ https://www.ncbi.nlm.nih.gov/pubmed/26052304 http://dx.doi.org/10.3389/fpsyg.2015.00682 |
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author | Smayda, Kirsten E. Chandrasekaran, Bharath Maddox, W. Todd |
author_facet | Smayda, Kirsten E. Chandrasekaran, Bharath Maddox, W. Todd |
author_sort | Smayda, Kirsten E. |
collection | PubMed |
description | Long-term music training can positively impact speech processing. A recent framework developed to explain such cross-domain plasticity posits that music training-related advantages in speech processing are due to shared cognitive and perceptual processes between music and speech. Although perceptual and cognitive processing advantages due to music training have been independently demonstrated, to date no study has examined perceptual and cognitive processing within the context of a single task. The present study examines the impact of long-term music training on speech learning from a rigorous, computational perspective derived from signal detection theory. Our computational models provide independent estimates of cognitive and perceptual processing in native English-speaking musicians (n = 15, mean age = 25 years) and non-musicians (n = 15, mean age = 23 years) learning to categorize non-native lexical pitch patterns (Mandarin tones). Musicians outperformed non-musicians in this task. Model-based analyses suggested that musicians shifted from simple unidimensional decision strategies to more optimal multidimensional (MD) decision strategies sooner than non-musicians. In addition, musicians used optimal decisional strategies more often than non-musicians. However, musicians and non-musicians who used MD strategies showed no difference in performance. We estimated parameters that quantify the magnitude of perceptual variability along two dimensions that are critical for tone categorization: pitch height and pitch direction. Both musicians and non-musicians showed a decrease in perceptual variability along the pitch height dimension, but only musicians showed a significant reduction in perceptual variability along the pitch direction dimension. Notably, these advantages persisted during a generalization phase, when no feedback was provided. These results provide an insight into the mechanisms underlying the musician advantage observed in non-native speech learning. |
format | Online Article Text |
id | pubmed-4439769 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-44397692015-06-05 Enhanced cognitive and perceptual processing: a computational basis for the musician advantage in speech learning Smayda, Kirsten E. Chandrasekaran, Bharath Maddox, W. Todd Front Psychol Psychology Long-term music training can positively impact speech processing. A recent framework developed to explain such cross-domain plasticity posits that music training-related advantages in speech processing are due to shared cognitive and perceptual processes between music and speech. Although perceptual and cognitive processing advantages due to music training have been independently demonstrated, to date no study has examined perceptual and cognitive processing within the context of a single task. The present study examines the impact of long-term music training on speech learning from a rigorous, computational perspective derived from signal detection theory. Our computational models provide independent estimates of cognitive and perceptual processing in native English-speaking musicians (n = 15, mean age = 25 years) and non-musicians (n = 15, mean age = 23 years) learning to categorize non-native lexical pitch patterns (Mandarin tones). Musicians outperformed non-musicians in this task. Model-based analyses suggested that musicians shifted from simple unidimensional decision strategies to more optimal multidimensional (MD) decision strategies sooner than non-musicians. In addition, musicians used optimal decisional strategies more often than non-musicians. However, musicians and non-musicians who used MD strategies showed no difference in performance. We estimated parameters that quantify the magnitude of perceptual variability along two dimensions that are critical for tone categorization: pitch height and pitch direction. Both musicians and non-musicians showed a decrease in perceptual variability along the pitch height dimension, but only musicians showed a significant reduction in perceptual variability along the pitch direction dimension. Notably, these advantages persisted during a generalization phase, when no feedback was provided. These results provide an insight into the mechanisms underlying the musician advantage observed in non-native speech learning. Frontiers Media S.A. 2015-05-21 /pmc/articles/PMC4439769/ /pubmed/26052304 http://dx.doi.org/10.3389/fpsyg.2015.00682 Text en Copyright © 2015 Smayda, Chandrasekaran and Maddox. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Psychology Smayda, Kirsten E. Chandrasekaran, Bharath Maddox, W. Todd Enhanced cognitive and perceptual processing: a computational basis for the musician advantage in speech learning |
title | Enhanced cognitive and perceptual processing: a computational basis for the musician advantage in speech learning |
title_full | Enhanced cognitive and perceptual processing: a computational basis for the musician advantage in speech learning |
title_fullStr | Enhanced cognitive and perceptual processing: a computational basis for the musician advantage in speech learning |
title_full_unstemmed | Enhanced cognitive and perceptual processing: a computational basis for the musician advantage in speech learning |
title_short | Enhanced cognitive and perceptual processing: a computational basis for the musician advantage in speech learning |
title_sort | enhanced cognitive and perceptual processing: a computational basis for the musician advantage in speech learning |
topic | Psychology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4439769/ https://www.ncbi.nlm.nih.gov/pubmed/26052304 http://dx.doi.org/10.3389/fpsyg.2015.00682 |
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