Effect of ambient noise reduction on speech recognition and listening effort in noise in MED-EL cochlear implant users.

IF 1.8 3区 医学 Q2 AUDIOLOGY & SPEECH-LANGUAGE PATHOLOGY
Verena Müller, Amanuel Ukuwait, Katrin Frößler, Ruth Lang-Roth
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引用次数: 0

Abstract

Objective: This study investigated whether the SONNET 2 audio processor's ambient noise reduction (ANR) algorithm improves speech recognition and listening effort in cochlear implant (CI) users as a function of different noise signals.

Design: Speech recognition and listening effort were measured in the presence of four different noise signals, including stationary and fluctuating noise, and including a speech masker. Speech was presented from the front (S0) and noise from two sources from the back (N ± 135).

Study sample: 20 adult CI users.

Results: With the ANR, speech recognition significantly improved in the presence of one stationary noise and in the presence of one fluctuating noise. The ANR had no significant effect on listening effort.

Conclusions: When activating the ANR algorithm of the SONNET 2 audio processor, speech recognition improved in some conditions. Listening effort was equal in all conditions. In corresponding everyday situations, it can be recommended to use the ANR algorithm.

环境降噪对MED-EL人工耳蜗使用者在噪声环境下语音识别和听力努力的影响。
目的:研究SONNET 2音频处理器的环境噪声降低(ANR)算法是否作为不同噪声信号的函数提高了人工耳蜗(CI)用户的语音识别和听力努力。设计:在四种不同的噪声信号下测量语音识别和听力效果,包括静止噪声和波动噪声,以及语音掩蔽器。语音来自正面(0),噪声来自背面(N±135)。研究样本:20名成年CI用户。结果:使用ANR,在存在一个平稳噪声和一个波动噪声的情况下,语音识别显著提高。ANR对听力努力没有显著影响。结论:激活SONNET 2音频处理器的ANR算法后,语音识别在一定条件下有所改善。在所有条件下,倾听的努力都是一样的。在相应的日常情况下,可以推荐使用ANR算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
International Journal of Audiology
International Journal of Audiology 医学-耳鼻喉科学
CiteScore
4.90
自引率
14.80%
发文量
133
审稿时长
4-8 weeks
期刊介绍: International Journal of Audiology is committed to furthering development of a scientifically robust evidence base for audiology. The journal is published by the British Society of Audiology, the International Society of Audiology and the Nordic Audiological Society.
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