The Role of Categorical Speech Perception and Phonological Processing in Familial Risk Children With and Without Dyslexia

Bree, Elise de; Leij, Aryan van der; Maassen, Ben; Setten, Ellie van; Maurits, Natasha M.; Zuijen, Titia L. van

doi:10.1044/2016_jslhr-l-15-0306

Cited by 31 publications

(27 citation statements)

References 53 publications

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“…CP deficits might be more prominent in noise (Calcus et al, 2016). Thus, while relations between CP and language-based learning disorders remains equivocal (Noordenbos and Serniclaes, 2015;Hakvoort et al, 2016), we speculate that assessing speech categorization under the taxing demands of noise might offer a more sensitive marker of impairment (e.g., Calcus et al, 2016).…”

Section: Discussionmentioning

confidence: 88%

Effects of Noise on the Behavioral and Neural Categorization of Speech

2020

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We investigated whether the categorical perception (CP) of speech might also provide a mechanism that aids its perception in noise. We varied signal-to-noise ratio (SNR) [clear, 0 dB, −5 dB] while listeners classified an acoustic-phonetic continuum (/u/ to /a/). Noise-related changes in behavioral categorization were only observed at the lowest SNR. Event-related brain potentials (ERPs) differentiated category vs. category-ambiguous speech by the P2 wave (˜180-320 ms). Paralleling behavior, neural responses to speech with clear phonetic status (i.e., continuum endpoints) were robust to noise down to −5 dB SNR, whereas responses to ambiguous tokens declined with decreasing SNR. Results demonstrate that phonetic speech representations are more resistant to degradation than corresponding acoustic representations. Findings suggest the mere process of binning speech sounds into categories provides a robust mechanism to aid figure-ground speech perception by fortifying abstract categories from the acoustic signal and making the speech code more resistant to external interferences.

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Section: Discussionmentioning

confidence: 88%

Effects of Noise on the Behavioral and Neural Categorization of Speech

2020

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“…Visual cues reduce the precision of categorical representations leading to sharper phonetic identification whereas noise exerts the opposite pattern, increasing variability in CP and leading to less precise speech categories. Though controversial, dyslexia has been linked to poorer CP (Messaoud-Galusi et al, 2011;Noordenbos and Serniclaes, 2015;Hakvoort et al, 2016;Zoubrinetzky et al, 2016)-a deficit which may be exacerbated in noise (Calcus et al, 2016). Future work could focus on identifying possible contributions that information from visual and additional sensory modalities make to auditory speech comprehension in normal and disordered populations and in other complex perceptual scenarios (e.g., reverberation, visual noise interference).…”

Section: Discussionmentioning

confidence: 99%

Acoustic noise and vision differentially warp the auditory categorization of speech

Bidelman

Sigley

Lewis

2019

The Journal of the Acoustical Society of America

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Speech perception requires grouping acoustic information into meaningful linguistic-phonetic units via categorical perception (CP). Beyond shrinking observers' perceptual space, CP might aid degraded speech perception if categories are more resistant to noise than surface acoustic features. Combining audiovisual (AV) cues also enhances speech recognition, particularly in noisy environments. This study investigated the degree to which visual cues from a talker (i.e., mouth movements) aid speech categorization amidst noise interference by measuring participants' identification of clear and noisy speech (0 dB signal-to-noise ratio) presented in auditory-only or combined AV modalities (i.e., A, Aþnoise, AV, AVþnoise conditions). Auditory noise expectedly weakened (i.e., shallower identification slopes) and slowed speech categorization. Interestingly, additional viseme cues largely counteracted noise-related decrements in performance and stabilized classification speeds in both clear and noise conditions suggesting more precise acoustic-phonetic representations with multisensory information. Results are parsimoniously described under a signal detection theory framework and by a reduction (visual cues) and increase (noise) in the precision of perceptual object representation, which were not due to lapses of attention or guessing. Collectively, findings show that (i) mapping sounds to categories aids speech perception in "cocktail party" environments; (ii) visual cues help lattice formation of auditory-phonetic categories to enhance and refine speech identification. V

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“…A popular hypothesis is that dyslexia, a learning disorder that affects reading skill development, is in fact the result of a subtle impairment in the way speech sounds are processed (Farmer and Klein, 1995;Van Ingelghem et al, 2005;Poelmans et al, 2011;Tallal, 1980). It is well-established that dyslexic adults and children both tend to perform worse than their nondyslexic peers on phoneme categorization tasks, in that (1) their performance reflects shallower psychometric functions and (2) they tend to be less consistent labeling speech sounds that are clear category exemplars (Brandt and Rosen, 1980;Hakvoort et al, 2016;O'Brien et al, 2018;Serniclaes et al, 2004;Zhang et al, 2012). Across studies employing a variety of experimental paradigms, moderate effect sizes are typically found (estimated to be 0.66 standard deviations on average by Noordenbos & Serniclaes, 2013), suggesting a reproducible group difference, albeit with considerable overlap between dyslexic and control groups.…”

Section: Introductionmentioning

confidence: 99%

Categorical phoneme labeling in poor readers does not depend on stimulus duration

O’Brien¹,

McCloy²,

Yeatman³

2018

Preprint

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It is established that individuals with dyslexia are less consistent at auditory phoneme categorization than typical readers. One hypothesis attributes differences in phoneme labeling to differences in auditory cue integration over time, suggesting that dyslexics’ performance would improve with longer exposure to informative phonetic cues. Here, the relationship between phoneme labeling and reading ability was investigated while manipulating the duration of steady-state auditory information available in a consonant-vowel syllable. Dyslexics obtained no more benefit from longer cues than did typical readers, suggesting that poor task performance is not explained by deficits temporal integration or temporal sampling.

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The Role of Categorical Speech Perception and Phonological Processing in Familial Risk Children With and Without Dyslexia

Abstract: Although CP phonological skills are related to dyslexia, there was no strong evidence for a cascade from CP to phonology to reading. Deficits in CP at the behavioral level are not directly associated with dyslexia.

Cited by 31 publications

References 53 publications

Effects of Noise on the Behavioral and Neural Categorization of Speech

Effects of Noise on the Behavioral and Neural Categorization of Speech

Acoustic noise and vision differentially warp the auditory categorization of speech

Categorical phoneme labeling in poor readers does not depend on stimulus duration

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