降噪对重度至极重度听力损失成年人言语可懂度、聆听努力程度及声音质量的影响。
Influences of noise reduction on speech intelligibility, listening effort, and sound quality among adults with severe to profound hearing loss.
作者信息
Dong Ruijuan, Liu Pengfei, Tian Xin, Wang Yuan, Chen Younuo, Zhang Jing, Yang Liu, Zhao Shiyang, Guan Jingjing, Wang Shuo
机构信息
Department of Otorhinolaryngology Head and Neck Surgery, Key Laboratory of Otolaryngology Head and Neck Surgery (Capital Medical University), Ministry of Education, Beijing Tongren Hospital, Capital Medical University, Beijing, China.
Beijing Key Laboratory of Fundamental Research on Biomechanics in Clinical Application, School of Biomedical Engineering, Capital Medical University, Beijing, China.
出版信息
Front Neurosci. 2024 Jul 23;18:1407775. doi: 10.3389/fnins.2024.1407775. eCollection 2024.
INTRODUCTION
Noise reduction (NR) algorithms have been integrated into modern digital hearing aids to reduce noise annoyance and enhance speech intelligibility. This study aimed to evaluate the influences of a novel hearing aid NR algorithm on individuals with severe-to-profound hearing loss.
METHODS
Twenty-five participants with severe-to-profound bilateral sensorineural hearing loss underwent three tests (speech intelligibility, listening effort, and subjective sound quality in noise) to investigate the influences of NR. All three tests were performed under three NR strength levels (Off, Moderate, and Strong) for both speech in noise program (SpiN) and speech in loud noise program (SpiLN), comprising six different hearing aid conditions.
RESULTS
NR activation significantly reduced listening effort. Subjective sound quality assessments also exhibited benefits of activated NR in terms of noise suppression, listening comfort, satisfaction, and speech clarity.
DISCUSSION
Individuals with severe-to-profound hearing loss still experienced advantages from NR technology in both listening effort measure and subjective sound quality assessments. Importantly, these benefits did not adversely affect speech intelligibility.
引言
降噪（NR）算法已被集成到现代数字助听器中，以减少噪音干扰并提高言语可懂度。本研究旨在评估一种新型助听器NR算法对重度至极重度听力损失患者的影响。
方法
25名重度至极重度双侧感音神经性听力损失患者接受了三项测试（言语可懂度、聆听努力程度以及噪声环境下的主观音质），以研究NR的影响。所有三项测试均在噪声言语程序（SpiN）和高声级噪声言语程序（SpiLN）的三种NR强度水平（关闭、中等和强）下进行，共包括六种不同的助听器条件。
结果
激活NR显著降低了聆听努力程度。主观音质评估也显示，激活NR在噪声抑制、聆听舒适度、满意度和言语清晰度方面具有优势。
讨论
重度至极重度听力损失患者在聆听努力程度测量和主观音质评估方面仍能从NR技术中获益。重要的是，这些益处并未对言语可懂度产生不利影响。
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