Abstract

How speech sounds are represented in the brain is not fully understood. The mismatch negativity (MMN) has proven to be a powerful tool in this regard. The MMN event-related potential is elicited by a deviant stimulus embedded within a series of repeating standard stimuli. Listeners construct auditory memory representations of these standards despite acoustic variability. In most designs that test speech sounds, however, this variation is typically intra-category: All standards belong to the same phonetic category. In the current paper, inter-category variation is presented in the standards. These standards vary in manner of articulation but share a common phonetic feature. In the standard retroflex experimental block, Mandarin Chinese speaking participants are presented with a series of “standard” consonants that share the feature [retroflex], interrupted by infrequent non-retroflex deviants. In the non-retroflex standard experimental block, non-retroflex standards are interrupted by infrequent retroflex deviants. The within-block MMN was calculated, as was the identity MMN (iMMN) to account for intrinsic differences in responses to the stimuli. We only observed a within-block MMN to the non-retroflex deviant embedded in the standard retroflex block. This suggests that listeners extract [retroflex] despite significant inter-category variation. In the non-retroflex standard block, because there is little on which to base a coherent auditory memory representation, no within-block MMN was observed. The iMMN to the retroflex was observed in a late time-window at centro-parieto-occipital electrode sites instead of fronto-central electrodes, where the MMN is typically observed, potentially reflecting the increased difficulty posed by the added variation in the standards. In short, participants can construct auditory memory representations despite significant acoustic and inter-category phonological variation so long as a shared phonetic feature binds them together.

Highlights

  • Speech is a variable and continuous signal

  • The current paper describes the results of a single MMN experiment using EEG with Mandarin Chinese retroflex consonants

  • The goal of the current paper was to determine whether listeners can extract a common phonetic feature from a series of standards with inter-category variation in an MMN paradigm

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Summary

Introduction

Speech is a variable and continuous signal. Despite this, successful spoken word recognition requires listeners to identify and extract meaningful linguistic units. Stevens (2002) proposed that listeners utilize features to identify major landmarks in the speech signal The identification of these features is critical for word segmentation and lexical access. Despite their central role in speech processing models and phonological theory (Clements and Hume, 1995; Halle, 2002), evidence that the perceptual system or human brain utilizes features or feature-like representations has been difficult to establish. Their best support has arisen from neurophysiology (see Monahan, 2018 for a review)

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