Cited by 90Phonetics and Phonology ResearchNeuroscience and Music PerceptionTactile and Sensory Interactions

Tracing the Trajectory of Sensory Plasticity across Different Stages of Speech Learning in Adulthood

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Reetzke, Rachel, Xie, Zilong, Llanos, Fernando, Chandrasekaran, Bharath·2018·Current Biology

Abstract

Although challenging, adults can learn non-native phonetic contrasts with extensive training [1, 2], indicative of perceptual learning beyond an early sensitivity period [3, 4]. Training can alter low-level sensory encoding of newly acquired speech sound patterns [5]; however, the time-course, behavioral relevance, and long-term retention of such sensory plasticity is unclear. Some theories argue that sensory plasticity underlying signal enhancement is immediate and critical to perceptual learning [6, 7]. Others, like the reverse hierarchy theory (RHT), posit a slower time-course for sensory plasticity [8]. RHT proposes that higher-level categorical representations guide immediate, novice learning, while lower-level sensory changes do not emerge until expert stages of learning [9]. We trained 20 English-speaking adults to categorize a non-native phonetic contrast (Mandarin lexical tones) using a criterion-dependent sound-to-category training paradigm. Sensory and perceptual indices were assayed across operationally defined learning phases (novice, experienced, over-trained, and 8-week retention) by measuring the frequency-following response, a neurophonic potential that reflects fidelity of sensory encoding, and the perceptual identification of a tone continuum. Our results demonstrate that while robust changes in sensory encoding and perceptual identification of Mandarin tones emerged with training and were retained, such changes followed different timescales. Sensory changes were evidenced and related to behavioral performance only when participants were over-trained. In contrast, changes in perceptual identification reflecting improvement in categorical percept emerged relatively earlier. Individual differences in perceptual identification, and not sensory encoding, related to faster learning. Our findings support the RHT-sensory plasticity accompanies, rather than drives, expert levels of non-native speech learning.

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  1. [9]Hochstein S Ahissar M 2002 View from the top: Hierarchies and reverse hierarchies in the visual system Neuron 36 791 804 12467584
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  10. [72]Boersma P 1993 Accurate short-term analysis of the fundamental frequency and the harmonics-to-noise ratio of a sampled sound Proceedings of the institute of phonetic sciences 17 Amsterdam 97 110

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Authors
Reetzke, R., Xie, Z., Llanos, F., & Chandrasekaran, B.
Affiliations
The University of Texas at Austin (US)
Corresponding author
Chandrasekaran, Bharath
Venue
Current Biology
Publisher
Elsevier BV
Published
2018-05
Volume
28
Issue
9
Pages
1419-1427.e4
ISSN
0960-9822 (ISSN-L)
OpenAlex
W2800934053
Cited by
90
References
59
Citations by year
2026: 5 · 2025: 6 · 2024: 16 · 2023: 21 · 2022: 12 · 2021: 13 · 2020: 6 · 2019: 11
FWCI
9.82
Type
journal article
Language
en
Open access
Locations
  • Current Biology (publishedVersion)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
Funders
  • National Institute on Deafness and Other Communication Disorders
  • National Institutes of Health (R01DC015504, R01DC013315)
Topics
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Phonetics and Phonology Research
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Neuroscience and Music Perception
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Tactile and Sensory Interactions
Keywords
sensory plasticity, perceptual learning, Mandarin lexical tones, frequency-following response, categorical perception, individual differences in learning, adult second language acquisition
MeSH terms
Adult, Auditory Perception, Brain, Female, Humans, Language, Learning, Male, Neuronal Plasticity, Phonetics, Speech, Speech Perception, Young Adult

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