灵敏度(控制系统)
音质
声学
质量(理念)
噪音(视频)
计算机科学
声压
模糊逻辑
声音(地理)
工程类
电子工程
语音识别
人工智能
物理
量子力学
图像(数学)
作者
Enlai Zhang,Zhilong Peng,Jianming Zhuo
标识
DOI:10.1177/09574565231193050
摘要
The research on vehicle sound quality is an emerging and highly promising field. This paper proposes a solution for sound quality improvement based on sensitivity analysis of psycho-acoustic parameters, in which the main acoustic techniques involved include noise signal acquisition, subjective and objective evaluations, sound quality modelling and prediction, parameter sensitivity and spectral analysis, and fuzzy comprehensive evaluation. In addition, taking 64 noise samples of electric bus as an application case, the presented sound quality analysis steps are implemented successively, and the obtained test results of improving the whole vehicle sound quality verify the feasibility and effectiveness of the proposed scheme.
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