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助听器降噪对听力受损成年人听力努力的影响。

The effect of hearing aid noise reduction on listening effort in hearing-impaired adults.

作者信息

Desjardins Jamie L, Doherty Karen A

机构信息

Department of Communication Sciences and Disorders, Syracuse University, Syracuse, New York, USA.

出版信息

Ear Hear. 2014 Nov-Dec;35(6):600-10. doi: 10.1097/AUD.0000000000000028.

Abstract

OBJECTIVES

The purpose of the present study was to evaluate the effect of a noise-reduction (NR) algorithm on the listening effort hearing-impaired participants expend on a speech in noise task.

DESIGN

Twelve hearing-impaired listeners fitted with behind-the-ear hearing aids with a fast-acting modulation-based NR algorithm participated in this study. A dual-task paradigm was used to measure listening effort with and without the NR enabled in the hearing aid. The primary task was a sentence-in-noise task presented at fixed overall speech performance levels of 76% (moderate listening condition) and 50% (difficult listening condition) correct performance, and the secondary task was a visual-tracking test. Participants also completed measures of working memory (Reading Span test), and processing speed (Digit Symbol Substitution Test) ability.

RESULTS

Participants' speech recognition in noise scores did not significantly change with the NR algorithm activated in the hearing aid in either listening condition. The NR algorithm significantly decreased listening effort, but only in the more difficult listening condition. Last, there was a tendency for participants with faster processing speeds to expend less listening effort with the NR algorithm when listening to speech in background noise in the difficult listening condition.

CONCLUSIONS

The NR algorithm reduced the listening effort adults with hearing loss must expend to understand speech in noise.

摘要

目的

本研究旨在评估降噪(NR)算法对听力受损参与者在噪声环境中听语音时所付出的听力努力的影响。

设计

12名佩戴耳背式助听器且启用基于快速调制的NR算法的听力受损听众参与了本研究。采用双任务范式来测量助听器启用和未启用NR时的听力努力。主要任务是在固定的总体语音识别率水平下进行噪声中的句子任务,分别为76%(中等听力条件)和50%(困难听力条件)的正确识别率,次要任务是视觉跟踪测试。参与者还完成了工作记忆(阅读广度测试)和处理速度(数字符号替换测试)能力的测量。

结果

在两种听力条件下,助听器启用NR算法时,参与者的噪声中语音识别分数均无显著变化。NR算法显著降低了听力努力,但仅在较困难的听力条件下。最后,在困难听力条件下,当在背景噪声中听语音时,处理速度较快的参与者使用NR算法时往往付出较少的听力努力。

结论

NR算法降低了听力损失成年人在噪声环境中理解语音时必须付出的听力努力。

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