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对不同程度的听力损失的空间,双耳和更好的耳朵益处的分析,使用双耳语音可理解性模型
Saskia Röttges1,2, Christopher Hauth1,2, Kirsten C Wagener1,3
1Medizinische Physik, Carl von Ossietzky Universität, Oldenburg, Germany.
Trends in hearing
|February 12, 2026
概括
听力损失的听众在噪音中的语音识别值 (SRTs) 比空间和双耳益处更有变化. 结合个体听力损失特征的预测模型提高了特定噪声条件的准确性.
科学领域:
- 听力学 听力学是指听力学.
- 语音感知 语音感知
- 声学信号处理 声学信号处理
背景情况:
- 在噪音中识别语音对于沟通至关重要,特别是对于有听力损失的人来说.
- 从掩盖和双耳处理的空间释放显著帮助在杂的环境中语音可理解性.
- 需要预测模型来理解和模拟在不同的听力条件和听力障碍的语音感知.
研究的目的:
- 分析正常听力和听力受损的听众在各种噪音条件下的语音识别值 (SRT).
- 评估一个模型的预测准确度,该模型包含等分取消 (EC) 和语音可理解性指数 (SII).
- 调查单个超值组件对不同听力场景的模型预测准确性的影响.
主要方法:
- 收集了来自738名听众的SRT数据,在不同的语音和噪音空间配置下,他们有不同程度的听力损失.
- 采用了一个计算模型,将一个盲人均等取消 (EC) 前端与非盲人语音可理解性指数 (SII) 结合起来.
- 模拟听力损失使用纯色音频图和测试单个超值组件 (参考SII,增加外部噪声) 来增强模型预测.
主要成果:
- 听众在SRT中表现出比空间,双耳和更好的耳朵 (BE) 听力好处更大的差异,无论听力损失的严重程度如何.
- 该EC-SII模型预测了测量的SRT,单个超值组件提高了S0N90条件的精度.
- 对于掩盖的空间或双耳释放,或添加组件的BE听力,没有观察到预测准确度的显著改善.
结论:
- 个体听力损失特征对在噪音中的语音识别中观察到的变异性有显著的贡献.
- 开发的EC-SII模型,加上单个超值组件,为某些噪声条件提供了更好的预测.
- 需要进一步的研究来完善模型,以准确预测听力障碍的听众的空间和双耳益处.
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