使用高斯过程进行远程音频录像和隙噪声测试
Emanuele Perugia1, Michael A Stone1,2, Karolina Kluk1
1Manchester Centre for Audiology and Deafness, Division of Psychology, Communication and Human Neuroscience, School of Health Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester Academic Health Science Centre, Manchester, United Kingdom.
The Journal of the Acoustical Society of America
|February 9, 2026
概括
使用贝叶斯方法的远程听力测试显示了跟踪听力损失和听觉波器宽度的潜力. 然而,由于设备校准问题,本研究的准确性有限.
科学领域:
- 听力学 听力学是指听力学.
- 生物医学工程 生物医学工程
- 信号处理 信号处理
背景情况:
- 准确的听力评估对于管理与年龄相关的听力损失至关重要.
- 远程测试提供了方便,但在可靠性和校准方面面临挑战.
- 贝叶斯主动学习方法在优化听力学测试方面表现有前途.
研究的目的:
- 开发和验证远程听力检测 (听力图) 和区分 (划痕噪声) 测试.
- 为了利用贝叶斯主动学习高斯过程对声音的二进制歧视.
- 为远程听力学评估选择最佳的刺激参数.
主要方法:
- 开发了采用贝叶斯主动学习高斯过程的远程音频图和划痕噪声测试.
- 招募了42名参与者 (48-75岁),已知纯色音量测试结果.
- 使用布兰德-阿尔特曼图表和一致性相关系数 (CCC) 评估一致性.
主要成果:
- 真实和估计的听力值之间的一致性差到公平 (CCC=0.19-0.34),归因于未校准的参与者设备.
- 估计的等效矩形带宽 (ERB) 与1000Hz (rs=0.36) 的纯色调听力测量有显著的相关性.
- 远程测试集体跟踪了听力值断点,斜率和听觉波器宽度趋势.
结论:
- 远程听力检测和区分测试显示了监测听力特征的潜力.
- 设备校准对于提高远程听觉评估的准确性至关重要.
- 开发的方法可以远程提供有关听觉波器形状和听觉值的见解.
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