scholarly journals Noise and a Speaker's Impaired Voice Quality Disrupt Spoken Language Processing in School-Aged Children: Evidence From Performance and Response Time Measures

2020 ◽  
Vol 63 (7) ◽  
pp. 2115-2131 ◽  
Author(s):  
Isabel S. Schiller ◽  
Dominique Morsomme ◽  
Malte Kob ◽  
Angélique Remacle
Keyword(s):  
Speech Perception ◽  
Response Time ◽  
Language Processing ◽  
Listening Comprehension ◽  
Voice Quality ◽  
First Grade ◽  
Spoken Language ◽  
Perception Task ◽  
Spoken Language Processing ◽  
School Aged Children

Purpose Our aim was to investigate isolated and combined effects of speech-shaped noise (SSN) and a speaker's impaired voice quality on spoken language processing in first-grade children. Method In individual examinations, 53 typically developing children aged 5–6 years performed a speech perception task (phoneme discrimination) and a listening comprehension task (sentence–picture matching). Speech stimuli were randomly presented in a 2 × 2 factorial design with the factors noise (no added noise vs. SSN at 0- dB SNR) and voice quality (normal voice vs. impaired voice). Outcome measures were task performance and response time (RT). Results SSN and impaired voice quality significantly lowered children's performance and increased RTs in the speech perception task, particularly when combined. Regarding listening comprehension, a significant interaction between noise and voice quality indicated that children's performance was hindered by SSN when the speaker's voice was impaired but not when it was normal. RTs in this task were unaffected by noise or voice quality. Conclusions Results suggest that speech signal degradations caused by a speaker's impaired voice and background noise generate more processing errors and increased listening effort in young school-aged children. This finding is vital for classroom listening and highlights the importance of ensuring teachers' vocal health and adequate room acoustics.

scholarly journals Effects of Noise and a Speaker's Impaired Voice Quality on Spoken Language Processing in School-Aged Children: A Systematic Review and Meta-Analysis

2021 ◽  
pp. 1-31
Author(s):  
Isabel S. Schiller ◽  
Angélique Remacle ◽  
Nancy Durieux ◽  
Dominique Morsomme
Keyword(s):  
Systematic Review ◽  
Language Processing ◽  
Speech Processing ◽  
Listening Comprehension ◽  
Signal To Noise Ratio ◽  
Meta Analysis ◽  
Voice Quality ◽  
Spoken Language ◽  
Spoken Language Processing ◽  
The Impact

Purpose: Background noise and voice problems among teachers can degrade listening conditions in classrooms. The aim of this literature review is to understand how these acoustic degradations affect spoken language processing in 6- to 18-year-old children. Method: In a narrative report and meta-analysis, we systematically review studies that examined the effects of noise and/or impaired voice on children's response accuracy and response time (RT) in listening tasks. We propose the Speech Processing under Acoustic DEgradations (SPADE) framework to classify relevant findings according to three processing dimensions—speech perception, listening comprehension, and auditory working memory—and highlight potential moderators. Results: Thirty-one studies are included in this systematic review. Our meta-analysis shows that noise can impede children's accuracy in listening tasks across all processing dimensions (Cohen's d between −0.67 and −2.65, depending on signal-to-noise ratio) and that impaired voice lowers children's accuracy in listening comprehension tasks ( d = −0.35). A handful of studies assessed RT, but results are inconclusive. The impact of noise and impaired voice can be moderated by listener, task, environmental, and exposure factors. The interaction between noise and impaired voice remains underinvestigated. Conclusions: Overall, this review suggests that children have more trouble perceiving speech, processing verbal messages, and recalling verbal information when listening to speech in noise or to a speaker with dysphonia. Impoverished speech input could impede pupils' motivation and academic performance at school. Supplemental Material https://doi.org/10.23641/asha.17139377

scholarly journals Do Musicians and Non-musicians Differ in Speech-on-Speech Processing?

2021 ◽  
Vol 12 ◽  
Author(s):  
Elif Canseza Kaplan ◽  
Anita E. Wagner ◽  
Paolo Toffanin ◽  
Deniz Başkent
Keyword(s):  
Speech Perception ◽  
Eye Tracking ◽  
Language Processing ◽  
Speech Processing ◽  
Time Course ◽  
Spoken Language ◽  
Recall Task ◽  
Spoken Language Processing ◽  
Sentence Recall ◽  
Gaze Fixations

Earlier studies have shown that musically trained individuals may have a benefit in adverse listening situations when compared to non-musicians, especially in speech-on-speech perception. However, the literature provides mostly conflicting results. In the current study, by employing different measures of spoken language processing, we aimed to test whether we could capture potential differences between musicians and non-musicians in speech-on-speech processing. We used an offline measure of speech perception (sentence recall task), which reveals a post-task response, and online measures of real time spoken language processing: gaze-tracking and pupillometry. We used stimuli of comparable complexity across both paradigms and tested the same groups of participants. In the sentence recall task, musicians recalled more words correctly than non-musicians. In the eye-tracking experiment, both groups showed reduced fixations to the target and competitor words’ images as the level of speech maskers increased. The time course of gaze fixations to the competitor did not differ between groups in the speech-in-quiet condition, while the time course dynamics did differ between groups as the two-talker masker was added to the target signal. As the level of two-talker masker increased, musicians showed reduced lexical competition as indicated by the gaze fixations to the competitor. The pupil dilation data showed differences mainly in one target-to-masker ratio. This does not allow to draw conclusions regarding potential differences in the use of cognitive resources between groups. Overall, the eye-tracking measure enabled us to observe that musicians may be using a different strategy than non-musicians to attain spoken word recognition as the noise level increased. However, further investigation with more fine-grained alignment between the processes captured by online and offline measures is necessary to establish whether musicians differ due to better cognitive control or sound processing.

Children With Cochlear Implants Use Semantic Prediction to Facilitate Spoken Word Recognition

2021 ◽  
pp. 1-14
Author(s):  
Christina Blomquist ◽  
Rochelle S. Newman ◽  
Yi Ting Huang ◽  
Jan Edwards
Keyword(s):  
Word Recognition ◽  
Target Word ◽  
Cochlear Implants ◽  
Language Processing ◽  
Spoken Word Recognition ◽  
Spoken Language ◽  
Spoken Word ◽  
Semantic Cues ◽  
Matched Group ◽  
Spoken Language Processing

Purpose Children with cochlear implants (CIs) are more likely to struggle with spoken language than their age-matched peers with normal hearing (NH), and new language processing literature suggests that these challenges may be linked to delays in spoken word recognition. The purpose of this study was to investigate whether children with CIs use language knowledge via semantic prediction to facilitate recognition of upcoming words and help compensate for uncertainties in the acoustic signal. Method Five- to 10-year-old children with CIs heard sentences with an informative verb ( draws ) or a neutral verb ( gets ) preceding a target word ( picture ). The target referent was presented on a screen, along with a phonologically similar competitor ( pickle ). Children's eye gaze was recorded to quantify efficiency of access of the target word and suppression of phonological competition. Performance was compared to both an age-matched group and vocabulary-matched group of children with NH. Results Children with CIs, like their peers with NH, demonstrated use of informative verbs to look more quickly to the target word and look less to the phonological competitor. However, children with CIs demonstrated less efficient use of semantic cues relative to their peers with NH, even when matched for vocabulary ability. Conclusions Children with CIs use semantic prediction to facilitate spoken word recognition but do so to a lesser extent than children with NH. Children with CIs experience challenges in predictive spoken language processing above and beyond limitations from delayed vocabulary development. Children with CIs with better vocabulary ability demonstrate more efficient use of lexical-semantic cues. Clinical interventions focusing on building knowledge of words and their associations may support efficiency of spoken language processing for children with CIs. Supplemental Material https://doi.org/10.23641/asha.14417627

Spoken language comprehension: insights from eye movements

2007 ◽  
pp. 308-326 ◽  
Author(s):  
Michael K. Tanenhaus
Keyword(s):  
Eye Movements ◽  
Language Processing ◽  
Language Comprehension ◽  
Language Production ◽  
World Literature ◽  
Spoken Language ◽  
Response Measure ◽  
Visual World ◽  
Spoken Language Processing ◽  
Spoken Language Comprehension

Recently, eye movements have become a widely used response measure for studying spoken language processing in both adults and children, in situations where participants comprehend and generate utterances about a circumscribed “Visual World” while fixation is monitored, typically using a free-view eye-tracker. Psycholinguists now use the Visual World eye-movement method to study both language production and language comprehension, in studies that run the gamut of current topics in language processing. Eye movements are a response measure of choice for addressing many classic questions about spoken language processing in psycholinguistics. This article reviews the burgeoning Visual World literature on language comprehension, highlighting some of the seminal studies and examining how the Visual World approach has contributed new insights to our understanding of spoken word recognition, parsing, reference resolution, and interactive conversation. It considers some of the methodological issues that come to the fore when psycholinguists use eye movements to examine spoken language comprehension.

Audio-visual spoken language processing

2004 ◽  
Author(s):  
Jinyoung Kim ◽  
Jeesun Kim ◽  
Chris Davis
Keyword(s):  
Language Processing ◽  
Spoken Language ◽  
Spoken Language Processing
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