Speech-in-noise perception in musicians: A review

被引:118
作者
Coffey, Emily B. J. [1 ,2 ,3 ]
Mogilever, Nicolette B. [1 ]
Zatorre, Robert J. [1 ,2 ,3 ]
机构
[1] McGill Univ, Montreal Neurol Inst, 3801 Rue Univ, Montreal, PQ H3A 1A1, Canada
[2] Int Lab Brain Mus & Sound Res BRAMS, Quebec City, PQ, Canada
[3] CRBLM, Quebec City, PQ, Canada
基金
加拿大健康研究院;
关键词
Speech-in-noise; Musician; Auditory system; Neuroimaging; Experience-dependent plasticity; AUDITORY BRAIN-STEM; FREQUENCY-FOLLOWING RESPONSE; MUSICAL EXPERIENCE; COCKTAIL-PARTY; NORMAL-HEARING; INFORMATIONAL MASKING; UNDERSTANDING SPEECH; CORTICAL MECHANISMS; BACKGROUND-NOISE; SOUND SOURCES;
D O I
10.1016/j.heares.2017.02.006
中图分类号
R36 [病理学]; R76 [耳鼻咽喉科学];
学科分类号
100104 ; 100213 ;
摘要
The ability to understand speech in the presence of competing sound sources is an important neuroscience question in terms of how the nervous system solves this computational problem. It is also a critical clinical problem that disproportionally affects the elderly, children with language-related learning disorders, and those with hearing loss. Recent evidence that musicians have an advantage on this multifaceted skill has led to the suggestion that musical training might be used to improve or delay the decline of speech-in-noise (SIN) function. However, enhancements have not been universally reported, nor have the relative contributions of different bottom-up versus top-down processes, and their relation to preexisting factors been disentangled. This information that would be helpful to establish whether there is a real effect of experience, what exactly is its nature, and how future training-based interventions might target the most relevant components of cognitive processes. These questions are complicated by important differences in study design and uneven coverage of neuroimaging modality. In this review, we aim to systematize recent results from studies that have specifically looked at musician-related differences in SIN by their study design properties, to summarize the findings, and to identify knowledge gaps for future work. (C) 2017 Elsevier B.V. All rights reserved.
引用
收藏
页码:49 / 69
页数:21
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