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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Main Authors: Kirsten eSmayda, Bharath eChandrasekaran, W. Todd eMaddox
Format: Article
Language:English
Published: Frontiers Media S.A. 2015-05-01
Series:Frontiers in Psychology
Subjects:
Online Access:http://journal.frontiersin.org/Journal/10.3389/fpsyg.2015.00682/full
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spelling doaj-ac1d58f8177e439abbe53894dd50f0292020-11-24T22:20:53ZengFrontiers Media S.A.Frontiers in Psychology1664-10782015-05-01610.3389/fpsyg.2015.00682132280Enhanced cognitive and perceptual processing: A computational basis for the musician advantage in speech learningKirsten eSmayda0Bharath eChandrasekaran1Bharath eChandrasekaran2W. Todd eMaddox3University of Texas at AustinUniversity of Texas at AustinUniversity of Texas at AustinUniversity of Texas at AustinLong-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 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 multidimensional 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.http://journal.frontiersin.org/Journal/10.3389/fpsyg.2015.00682/fullMusicSpeechplasticitycategory learningOpera
collection DOAJ
language English
format Article
sources DOAJ
author Kirsten eSmayda
Bharath eChandrasekaran
Bharath eChandrasekaran
W. Todd eMaddox
spellingShingle Kirsten eSmayda
Bharath eChandrasekaran
Bharath eChandrasekaran
W. Todd eMaddox
Enhanced cognitive and perceptual processing: A computational basis for the musician advantage in speech learning
Frontiers in Psychology
Music
Speech
plasticity
category learning
Opera
author_facet Kirsten eSmayda
Bharath eChandrasekaran
Bharath eChandrasekaran
W. Todd eMaddox
author_sort Kirsten eSmayda
title 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_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_sort enhanced cognitive and perceptual processing: a computational basis for the musician advantage in speech learning
publisher Frontiers Media S.A.
series Frontiers in Psychology
issn 1664-1078
publishDate 2015-05-01
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 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 multidimensional 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.
topic Music
Speech
plasticity
category learning
Opera
url http://journal.frontiersin.org/Journal/10.3389/fpsyg.2015.00682/full
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