The evaluation of car interior sound quality based on PSO-SVM

XU Zhong-ming;XIE Yao-yi;HE Yan-song;ZHANG Zhi-fei;TU Li-e

Journal of Vibration and Shock ›› 2015, Vol. 34 ›› Issue (2) : 25-29.

PDF(1292 KB)
PDF(1292 KB)
Journal of Vibration and Shock ›› 2015, Vol. 34 ›› Issue (2) : 25-29.

The evaluation of car interior sound quality based on PSO-SVM

  • XU Zhong-ming1,2,XIE Yao-yi2,HE Yan-song1,2,ZHANG Zhi-fei1,2,TU Li-e2
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Abstract

The noise signals from passenger car during acceleration from 50km/h to 100km/h were selected as the evaluation objects and Subjective testing is carried out via the paired comparison method to get the annoyance scores. The BK software is used to calculate the main psychoacoustics parameter and then find their Correlation. In view of the complexity of subjective evaluation process to transient noise, this paper use Support Vector Machine model to simulate the process of noise subjective evaluation, and then the input parameters of support vector machines is optimized by the particle swarm optimization. In order to compare the optimized prediction effect, the BP neural network is established at the same time. The results show that the quality evaluation of the acceleration noise can get better prediction effect with pso-svm model, and it could largely improve the predictive accuracy of sound quality evaluation and has reference value for evaluation and analysis of the vehicle noise.

Key words

acceleration / sound quality / subjective and objective evaluation / PSO / SVM

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XU Zhong-ming;XIE Yao-yi;HE Yan-song;ZHANG Zhi-fei;TU Li-e. The evaluation of car interior sound quality based on PSO-SVM[J]. Journal of Vibration and Shock, 2015, 34(2): 25-29
PDF(1292 KB)

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