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使用模拟听力受损的计算机模型探索一种受生理启发的助听器算法。

Exploration of a physiologically-inspired hearing-aid algorithm using a computer model mimicking impaired hearing.

作者信息

Jürgens Tim, Clark Nicholas R, Lecluyse Wendy, Meddis Ray

机构信息

a Medizinische Physik, Forschungszentrum Neurosensorik and Cluster of Excellence 'Hearing4all', Carl-von-Ossietzky Universität Oldenburg , Oldenburg , Germany .

b Department of Psychology , University of Essex , Colchester , UK .

出版信息

Int J Audiol. 2016;55(6):346-57. doi: 10.3109/14992027.2015.1135352. Epub 2016 Feb 26.

DOI:10.3109/14992027.2015.1135352
PMID:26918797
Abstract

OBJECTIVE

To use a computer model of impaired hearing to explore the effects of a physiologically-inspired hearing-aid algorithm on a range of psychoacoustic measures.

DESIGN

A computer model of a hypothetical impaired listener's hearing was constructed by adjusting parameters of a computer model of normal hearing. Absolute thresholds, estimates of compression, and frequency selectivity (summarized to a hearing profile) were assessed using this model with and without pre-processing the stimuli by a hearing-aid algorithm. The influence of different settings of the algorithm on the impaired profile was investigated. To validate the model predictions, the effect of the algorithm on hearing profiles of human impaired listeners was measured.

STUDY SAMPLE

A computer model simulating impaired hearing (total absence of basilar membrane compression) was used, and three hearing-impaired listeners participated.

RESULTS

The hearing profiles of the model and the listeners showed substantial changes when the test stimuli were pre-processed by the hearing-aid algorithm. These changes consisted of lower absolute thresholds, steeper temporal masking curves, and sharper psychophysical tuning curves.

CONCLUSION

The hearing-aid algorithm affected the impaired hearing profile of the model to approximate a normal hearing profile. Qualitatively similar results were found with the impaired listeners' hearing profiles.

摘要

目的

使用听力受损的计算机模型,探讨一种受生理启发的助听器算法对一系列心理声学测量指标的影响。

设计

通过调整正常听力计算机模型的参数,构建一个假设的听力受损听者的计算机模型。使用该模型在对刺激进行或不进行助听器算法预处理的情况下,评估绝对阈值、压缩估计值和频率选择性(汇总为听力曲线)。研究了算法的不同设置对受损听力曲线的影响。为验证模型预测结果,测量了该算法对人类听力受损听者听力曲线的影响。

研究样本

使用了一个模拟听力受损(基底膜完全无压缩)的计算机模型,并有三名听力受损听者参与。

结果

当测试刺激由助听器算法进行预处理时,模型和听者的听力曲线显示出显著变化。这些变化包括更低的绝对阈值、更陡峭的时间掩蔽曲线和更尖锐的心理物理调谐曲线。

结论

助听器算法影响了模型的受损听力曲线,使其接近正常听力曲线。在听力受损听者的听力曲线上也发现了定性相似的结果。

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