首页> 外文期刊>Proceedings of the Institution of Mechanical Engineers >Characterization of an axle-gear whine sound in a sports utility vehicle and its objective evaluation based on synthetic sound technology and an artificial neural network
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Characterization of an axle-gear whine sound in a sports utility vehicle and its objective evaluation based on synthetic sound technology and an artificial neural network

机译:基于合成声音技术和人工神经网络的运动型多功能车轴齿轮啸叫声的表征及其目标评估

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摘要

The gear whine sound of an axle system is one of the most important sound qualities in a sports utility vehicle (SUV). Previous work has shown that, because of masking effects, it is difficult to evaluate the gear whine sound objectively by using only the A-weighted sound pressure level. In this paper, the characteristics of the axle-gear whine sound were first investigated on the basis of synthetic sound technology, and a new objective evaluation method for this sound was developed by using sound metrics, which are the psychoacoustic parameters, and the artificial neural network (ANN) used for the modelling of the correlation between objective and subjective evaluation. This model developed by using ANN was applied to the objective evaluation of the axle-gear whine sound for real SUVs and the output of the model was compared with subjective evaluation. The results indicate a good correlation of over 90 per cent between the subjective and objective evaluations. [PUBLICATION ABSTRACT]
机译:轴系统的齿轮啸声是运动型多功能车(SUV)中最重要的声音品质之一。先前的工作表明,由于掩蔽效应,仅使用A加权声压级很难客观地评估齿轮发出的啸叫声。本文首先在合成声音技术的基础上研究了轮齿呜呜声的特性,并利用心理声学参数和人工神经网络方法开发了一种新的客观评价方法。网络(ANN)用于对客观评估和主观评估之间的相关性进行建模。通过人工神经网络开发的该模型被用于客观的真实SUV的齿轮齿鸣声评估,并将模型的输出与主观评估进行比较。结果表明,主观评价和客观评价之间的良好相关性超过90%。 [出版物摘要]

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