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音量平衡优化,以提高耳植入物使用者的语音可理解性,音乐感知和光谱时间分辨率

Burcu Deniz¹, Rişvan Deniz², Ahmet Ataş³

¹Istanbul University-Cerrahpaşa, Faculty of Health Science, Department of Audiology, İstanbul, Türkiye.

Otology & neurotology : official publication of the American Otological Society, American Neurotology Society [and] European Academy of Otology and Neurotology

|March 22, 2024

概括

耳植入物 (CI) 编程中的声音平衡显著改善了语音理解和音乐感知. 这种方法还增强了光谱-时间分辨率,揭示了这些听觉技能之间的联系.

科学领域:

听力学听力学是指听力学.
神经科学是一个神经科学.
生物医学工程生物医学工程

背景情况:

耳植入物 (CI) 用户的声音不平衡可能会扭曲声音感知,导致不规则或回声的声音.
这些不平衡会对CI用户的听力表现和整体体验产生负面影响.
声音平衡 (LB) 是解决这些问题的关键后安装程序.

研究的目的:

评估基于行为的声音平衡 (LB) 编程在耳植入物 (CI) 用户中的有效性.
为了比较标准编程和LB编程之间的语音理解,光谱-时间分辨率和音乐感知得分.
调查这些不同的听觉感知技能之间的关系.

主要方法:

26名单边Med-EL CI使用者参与了这项研究.
使用了两种编程方法:客观的电气唤起的形反射值 (P1) 和基于行为的声音平衡 (P2).
语音感知 (土耳其矩阵句子测试),光谱时间分辨率 (RGDT,SMRT) 和音乐感知 (迷你PROMS,MCI) 被评估和比较.

主要成果:

使用音量平衡 (P2) 进行编程,在安静和噪音条件下,在语音感知测试 (TMS) 中得分明显更好.
谱时调节波动测试 (SMRT) 得分显示,与语音感知 (TMS) 和音乐声音感知 (迷你PROMS) 有显著的相关性.
虽然P2在整体音乐感知 (迷你PROMS) 和旋律轮识别 (MCI) 中表现更好,但只有MCI分数显著改善.

结论:

通过 LB 编程,在耳植入物电极上的声音均等,可以提高感知敏度.
这项研究证实了语音感知,光谱-时间分辨率和音乐感知能力在CI用户之间存在显著的关系.
声音平衡是一种有效的策略,可以改善耳植入物接受者的听力表现.

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