Abstract

An important mechanism for learning speech sounds in the first year of life is “distributional learning,” i.e., learning by simply listening to the frequency distributions of the speech sounds in the environment. In the lab, fast distributional learning has been reported for infants in the second half of the first year; the present study examined whether it can also be demonstrated at a much younger age, long before the onset of language-specific speech perception (which roughly emerges between 6 and 12 months). To investigate this, Dutch infants aged 2 to 3 months were presented with either a unimodal or a bimodal vowel distribution based on the English /æ/~/ε/ contrast, for only 12 minutes. Subsequently, mismatch responses (MMRs) were measured in an oddball paradigm, where one half of the infants in each group heard a representative [æ] as the standard and a representative [ε] as the deviant, and the other half heard the same reversed. The results (from the combined MMRs during wakefulness and active sleep) disclosed a larger MMR, implying better discrimination of [æ] and [ε], for bimodally than unimodally trained infants, thus extending an effect of distributional training found in previous behavioral research to a much younger age when speech perception is still universal rather than language-specific, and to a new method (using event-related potentials). Moreover, the analysis revealed a robust interaction between the distribution (unimodal vs. bimodal) and the identity of the standard stimulus ([æ] vs. [ε]), which provides evidence for an interplay between a perceptual asymmetry and distributional learning. The outcomes show that distributional learning can affect vowel perception already in the first months of life.

Highlights

  • Distributional learning, i.e., learning by being exposed to the frequency distributions of stimuli in the environment, may be one of the mechanisms by which infants start to acquire the phonemes of their language (Lacerda, 1995; Guenther and Gjaja, 1996)

  • For the non-quiet sleep (QS) data, the analysis of variance (ANOVA) revealed a positive grand mean (+0.84 μV), with a 97.5% confidence interval (CI) that does not include zero (+0.35 ∼ +1.33 μV), implying that on average Dutch 2-to-3-month old infants can discriminate the test vowels, and that vowel discrimination in these infants is reflected in a positive mismatch responses (MMRs)

  • Regarding our specific research question, the analysis showed a main effect of Distribution Type: across electrodes and time windows the bimodally trained infants had a higher positive MMR (+1.37 μV, CI = +0.68 ∼ +2.06 μV) than the unimodally trained infants (+0.31 μV, CI = –0.38 ∼ +1.00 μV), indicating that Dutch 2-to3-month olds’ neural discrimination of [æ] and [ε] is better after bimodal than after unimodal training

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Summary

Introduction

Distributional learning, i.e., learning by being exposed to the frequency distributions of stimuli in the environment, may be one of the mechanisms by which infants start to acquire the phonemes of their language (Lacerda, 1995; Guenther and Gjaja, 1996). Fast distributional learning of speech sounds after just a few minutes of exposure in the lab has been observed in infants in the second half of the first year (e.g., Maye et al, 2008). This study investigates whether such fast distributional learning can take place in very young infants, i.e., 2-to-3-month olds This is relevant if we want to establish that the distributional learning mechanism is in place early enough to be able to contribute to the transition from universal to language-specific speech perception, which becomes apparent in infants’ speech sound discrimination from around 6 months of age (e.g., Werker and Tees, 1984/2002; Polka and Werker, 1994), or perhaps even from 4 months (Yeung et al, 2013). In the course of this transition discrimination performance is enhanced for native speech sound contrasts (Cheour et al, 1998b; Kuhl et al, 2006; Tsao et al, 2006), and reduced for non-native contrasts that are irrelevant in the native language

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