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使用人类耳朵生理模型预测车辆内部噪音的声音质量研究
Yu Zhao1,2, Houguang Liu1, Weiwei Guo3,4,5
1School of Mechatronic Engineering, China University of Mining and Technology, Xuzhou 221116, People's Republic of China.
The Journal of the Acoustical Society of America
|August 13, 2024
概括
一个新的模型使用生理反应预测车辆内部的声音质量,例如噪音,清晰度和粗度. 这种方法比传统方法更准确,与主观烦有更好的相关性.
科学领域:
- 声学 声学 在声学上
- 生物医学工程 生物医学工程
- 信号处理 信号处理
背景情况:
- 车辆内部的噪音对乘客的舒适性和质量的感知有重大影响.
- 传统的精神声学参数在准确预测主观声音质量方面存在局限性.
- 开发先进的模型对于客观的声音质量评估至关重要.
研究的目的:
- 提出一种新的声音质量预测模型来预测车辆内部噪音.
- 通过使用生理反应指标来提高预测准确性.
- 建立一个更可靠的客观噪声测量和主观感知之间的联系.
主要方法:
- 构建了一个人耳声传输模型,集成有限元和传输线模型.
- 开发了基于基底膜反应的强度,度和粗度的生理感知模型.
- 利用TabNet模型,结合生理指标和主观评估进行预测.
主要成果:
- 生理学指标 (大声,清晰度,粗度) 与主观声音质量烦的相关性更强.
- 拟议的生理模型在声音质量预测中实现了明显较低的平均误差百分比 (3.81%).
- 与基于传统精神声学参数的模型相比,表现出优异的性能.
结论:
- 人耳生理模型为预测车辆内部声音质量提供了更准确的方法.
- 生理反应指标比传统参数更好地代表主观的声音感知.
- 该模型推进了对车辆声学和乘客体验的客观评估方法.
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