Age Dependence of Thresholds for Speech in Noise in Normal-Hearing Adolescents

Jacobi, Irene; Rashid, Marya Sheikh; Laat, J. A. P. M. de; Dreschler, Wouter A.

doi:10.1177/2331216517743641

Cited by 12 publications

(7 citation statements)

References 44 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In that respect, it is worrying to note that the background sounds in classrooms may reach 70-77 dB LAeq (Jamieson, Kranjc, Yu, & Hodgetts, 2004;Shield & Dockrell, 2003). When compared to adults, children show poorer word identification performance in noise at least until 10-11 years of age and more in some studies (Elliott, 1979;Elliott et al, 1987;Hall III et al, 2002;Jacobi, Sheikh Rashid, de Laat, & Dreschler, 2017;Johnson, 2000;Papso & Blood, 1989;Stuart, 2005Stuart, , 2008.…”

Section: A Perception Of Speech In Noise In Childhoodmentioning

confidence: 99%

Development of temporal auditory processing in childhood: Changes in efficiency rather than temporal-modulation selectivity

Cabrera

Varnet

Buss

et al. 2019

The Journal of the Acoustical Society of America

View full text Add to dashboard Cite

The ability to detect amplitude modulation (AM) is essential to distinguish the spectro-temporal features of speech from those of a competing masker. Previous work shows that AM sensitivity improves until 10 years of age. This may relate to the development of sensory factors (tuning of AM filters, susceptibility to AM masking) or to changes in processing efficiency (reduction in internal noise, optimization of decision strategies). To disentangle these hypotheses, three groups of children (5-11 years) and one of young adults completed psychophysical tasks measuring thresholds for detecting sinusoidal AM (with a rate of 4, 8, or 32 Hz) applied to carriers whose inherent modulations exerted different amounts of AM masking. Results showed that between 5 and 11 years, AM detection thresholds improved and that susceptibility to AM masking slightly increased. However, the effects of AM rate and carrier were not associated with age, suggesting that sensory factors are mature by 5 years. Subsequent modelling indicated that reducing internal noise by a factor 10 accounted for the observed developmental trends. Finally, children's consonant identification thresholds in noise related to some extent to AM sensitivity. Increased efficiency in AM detection may support better use of temporal information in speech during childhood.

show abstract

Section: A Perception Of Speech In Noise In Childhoodmentioning

confidence: 99%

Development of temporal auditory processing in childhood: Changes in efficiency rather than temporal-modulation selectivity

Cabrera

Varnet

Buss

et al. 2019

The Journal of the Acoustical Society of America

View full text Add to dashboard Cite

show abstract

“…A closer examination of the literature reveals that speech-in-noise recognition improves gradually over the first decade of life; adult-like performance is not usually observed until 9–10 years when stimuli are presented diotically (e.g., Eisenberg et al, 2000; Corbin et al, 2016; Buss et al, 2017; but see Jacobi et al, 2017). Corbin et al (2016) characterized the developmental trajectory for masked word recognition, including testing in the presence of speech-shaped noise.…”

Section: Speech-in-noise Recognitionmentioning

confidence: 99%

Masked Speech Recognition in School-Age Children

Leibold

Buss

2019

Front. Psychol.

View full text Add to dashboard Cite

Children who are typically developing often struggle to hear and understand speech in the presence of competing background sounds, particularly when the background sounds are also speech. For example, in many cases, young school-age children require an additional 5- to 10-dB signal-to-noise ratio relative to adults to achieve the same word or sentence recognition performance in the presence of two streams of competing speech. Moreover, adult-like performance is not observed until adolescence. Despite ample converging evidence that children are more susceptible to auditory masking than adults, the field lacks a comprehensive model that accounts for the development of masked speech recognition. This review provides a synthesis of the literature on the typical development of masked speech recognition. Age-related changes in the ability to recognize phonemes, words, or sentences in the presence of competing background sounds will be discussed by considering (1) how masking sounds influence the sensory encoding of target speech; (2) differences in the time course of development for speech-in-noise versus speech-in-speech recognition; and (3) the central auditory and cognitive processes required to separate and attend to target speech when multiple people are speaking at the same time.

show abstract

“…Cognitive processes are known to mature during adolescence (Luna, 2009; Peverill et al, 2016) and in support of the ELU-model’s predictions, studies have shown that younger teens require higher SNRs than older teens/adults when listening to speech in conditions that place demands on top-down processes (Stuart, 2008; Jacobi et al, 2017). Accordingly, age was shown in the current study to significantly covary with HINT performance as anticipated.…”

Section: Discussionmentioning

confidence: 88%

Speech Processing Difficulties in Attention Deficit Hyperactivity Disorder

et al. 2019

View full text Add to dashboard Cite

The large body of research that forms the ease of language understanding (ELU) model emphasizes the important contribution of cognitive processes when listening to speech in adverse conditions; however, speech-in-noise (SIN) processing is yet to be thoroughly tested in populations with cognitive deficits. The purpose of the current study was to contribute to the field in this regard by assessing SIN performance in a sample of adolescents with attention deficit hyperactivity disorder (ADHD) and comparing results with age-matched controls. This population was chosen because core symptoms of ADHD include developmental deficits in cognitive control and working memory capacity and because these top-down processes are thought to reach maturity during adolescence in individuals with typical development. The study utilized natural language sentence materials under experimental conditions that manipulated the dependency on cognitive mechanisms in varying degrees. In addition, participants were tested on cognitive capacity measures of complex working memory-span, selective attention, and lexical access. Primary findings were in support of the ELU-model. Age was shown to significantly covary with SIN performance, and after controlling for age, ADHD participants demonstrated greater difficulty than controls with the experimental manipulations. In addition, overall SIN performance was strongly predicted by individual differences in cognitive capacity. Taken together, the results highlight the general disadvantage persons with deficient cognitive capacity have when attending to speech in typically noisy listening environments. Furthermore, the consistently poorer performance observed in the ADHD group suggests that auditory processing tasks designed to tax attention and working memory capacity may prove to be beneficial clinical instruments when diagnosing ADHD.

show abstract

Age Dependence of Thresholds for Speech in Noise in Normal-Hearing Adolescents

Cited by 12 publications

References 44 publications

Development of temporal auditory processing in childhood: Changes in efficiency rather than temporal-modulation selectivity

Development of temporal auditory processing in childhood: Changes in efficiency rather than temporal-modulation selectivity

Masked Speech Recognition in School-Age Children

Speech Processing Difficulties in Attention Deficit Hyperactivity Disorder

Contact Info

Product

Resources

About