■降噪(NR)算法已集成到现代数字助听器中,以减少噪声烦恼并增强语音清晰度。本研究旨在评估一种新型助听器NR算法对重度至重度听力损失个体的影响。
■25名患有严重至严重的双侧感觉神经性听力损失的参与者接受了三项测试(语音清晰度,倾听的努力,和噪声中的主观音质)来研究NR的影响。所有三个测试都在三个NR强度水平下进行(关闭,中等,和强)对于噪声程序中的语音(SpiN)和大噪声程序中的语音(SpiLN),包括六种不同的助听器条件。
■NR激活显着降低了聆听的努力。主观音质评估还显示了激活NR在噪声抑制方面的益处,聆听舒适,满意,和说话清晰。
■患有严重至严重听力损失的人在听力测量和主观音质评估方面仍然具有NR技术的优势。重要的是,这些益处并未对言语清晰度产生不利影响.
UNASSIGNED: 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.
UNASSIGNED: 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.
UNASSIGNED: 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.
UNASSIGNED: 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.