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在复杂的虚拟声学场景中,无助和助听器辅助的听觉感知测量的开放访问数据集

Tahereh Afghah^1,2, Jan Heeren^1,2, Laura Hartog^1,2

¹Hörzentrum Oldenburg gGmbH, Oldenburg, Germany.

International journal of audiology

|December 29, 2025

概括

这项研究引入了用于助听器研究的开放式听力学数据集. 它为正常听力和听力损失提供了全面的数据,有助于算法开发和听力学研究.

科学领域:

听力学听力学是指听力学.
数据科学数据科学数据科学
听力研究听力研究

背景情况:

开发有效的助听器算法需要大量高质量的听力学数据.
现有的数据集可能缺乏全面的感知测量或多样化的测试条件.

研究的目的:

介绍一个开放式访问的听力学数据集的设计和结构.
支持助听器算法开发和基于模型的听力学.
为正常听力和听力损失的个人提供全面的感知测量.

主要方法:

根据FAIR原则创建数据集 (可查找,可访问,可互操作,可重复使用).
包括纯色音量计,耳镜检测,合器测量,大声验证方法 (LVM),语音噪声检测,分类大声量测量,语音识别测试 (哥廷根语句测试,GÖSA;奥尔登堡语句测试,OLSA),听力测试 (适应分类听力测量,ACALES) 和自我报告听力 (HEAR-COMMAND工具).
在常见的空间和虚拟声学场景中进行测试,用于助听器用户的辅助和无辅助条件.

主要成果:

一个包含76名参与者的数据集.
版本包括数据库文档,测量细节,原始数据,元数据和结构化SQL文件.
报告了OLSA,ACALES,GÖSA,LVM和听力测量中度听力损失的个体的样本结果.

结论:

该数据集能够进行交叉方法分析,并提供模拟的声学场景,用于评估听力损失.
为基于模型的听力学研究提供了基线资源.
通过结合标准化和新型措施,促进助听器益处评估.

关键词:

公平的原则公平的原则助听器是一种助听器.审计数据集是一个审计数据集.听力损失听力损失是什么倾听的努力就是倾听的努力.语音的可理解性语音的可理解性

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