Age-Related Differences in Lexical Access Relate to Speech Recognition in Noise

Carroll, Rebecca; Warzybok, Anna; Kollmeier, Birger; Ruigendijk, Esther

doi:10.3389/fpsyg.2016.00990

Cited by 46 publications

(44 citation statements)

References 75 publications

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“…Indeed, SiN comprehension 461 strongly depends on vocabulary knowledge. 21,70,71 And the level of CTS in noise relates to the 462 listeners' level of comprehension. 35,40,41 This therefore suggests that the robustness of CTS to 463 babble noise depends on the level of comprehension, which in turn depends on how developed 464 is the mental lexicon.…”

Section: Robustness Of Cortical Speech Representation To Babble Noisementioning

confidence: 99%

Cortical tracking of speech in noise accounts for reading strategies in children

Destoky

Bertels

Niesen

et al. 2020

Preprint

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Humans’ propensity to acquire literacy relates to several factors, among which, the ability to understand speech in noise (SiN). Still, the nature of the relation between reading and SiN perception abilities remains poorly understood. Here, we dissect the interplay between (i) reading abilities, (ii) classical behavioral predictors of reading (phonological awareness, phonological memory and lexical access), and (iii) electrophysiological markers of SiN perception in 99 elementary school children (26 with dyslexia). We demonstrate that cortical representation of phrasal content of SiN relates to the development of the lexical (but not sublexical) reading strategy. In contrast, classical behavioral predictors of reading abilities and the ability to benefit from visual speech to represent the syllabic content of SiN account for global reading performance (i.e., speed and accuracy of lexical and sublexical reading). Finally, we found that individuals with dyslexia properly integrate visual speech information to optimize processing of syntactic information, but not to sustain acoustic/phonemic processing. These results clarify the nature of the relation between SiN perception and reading abilities in typical and dyslexic child readers, and identified novel electrophysiological markers of emergent literacy.

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Section: Robustness Of Cortical Speech Representation To Babble Noisementioning

confidence: 99%

Cortical tracking of speech in noise accounts for reading strategies in children

Destoky

Bertels

Niesen

et al. 2020

Preprint

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“…A success rate of 60% is mandatory to allow the participant to perform the other tasks of the VIPS test. The RTs to this task will be subtracted to the RTs on the other tasks in order to obtain an unbiased measure of access speed (i.e., excluding motor reaction in pressing a button or general processing speed, see Carroll et al 2016).…”

Section: Cognitive/linguistic Test Batterymentioning

confidence: 99%

Hearing Impairment and Perceived Clarity of Predictable Speech

Signoret

Rudner

2019

Ear and Hearing

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The precision of stimulus-driven information is less critical for comprehension when accurate knowledge-based predictions of the upcoming stimulus can be generated. A recent study in listeners without hearing impairment (HI) has shown that form-and meaning-based predictability independently and cumulatively enhance perceived clarity of degraded speech. In the present study, we investigated whether formand meaning-based predictability enhanced the perceptual clarity of degraded speech for individuals with moderate to severe sensorineural HI, a group for whom such enhancement may be particularly important. Design: Spoken sentences with high or low semantic coherence were degraded by noise-vocoding and preceded by matching or nonmatching text primes. Matching text primes allowed generation of form-based predictions while semantic coherence allowed generation of meaningbased predictions. Results: The results showed that both form-and meaning-based predictions make degraded speech seem clearer to individuals with HI. The benefit of form-based predictions was seen across levels of speech quality and was greater for individuals with HI in the present study than for individuals without HI in our previous study. However, for individuals with HI, the benefit of meaning-based predictions was only apparent when the speech was slightly degraded. When it was more severely degraded, the benefit of meaning-based predictions was only seen when matching text primes preceded the degraded speech. The benefit in terms of perceptual clarity of meaning-based predictions was positively related to verbal fluency but not working memory performance. Conclusions: Taken together, these results demonstrate that, for individuals with HI, form-based predictability has a robust effect on perceptual clarity that is greater than the effect previously shown for individuals without HI. However, when speech quality is moderately or severely degraded, meaningbased predictability is contingent on form-based predictability. Further, the ability to mobilize the lexicon seems to contribute to the strength of meaning-based predictions. Whereas individuals without HI may be able to devote explicit working memory capacity for storing meaning-based predictions, individuals with HI may already be using all available explicit capacity to process the degraded speech and thus become reliant on explicit skills such as their verbal fluency to generate useful meaning-based predictions.

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“…For example, in language acquisition, vocabulary size is related to how fast children access words online [77], and is a strong predictor of grammatical development (e.g., [30,78,79]). In adult language processing, variability in vocabulary knowledge predicts spoken lexical access in challenging conditions (e.g., [80,81]), and lexical frequencies can influence syntactic processing [82].…”

Section: Relationships Between Linguistic and Cognitive Variablesmentioning

confidence: 99%