Title: Identification of vehicle booming sound and its objective evaluation using psychoacoustic parameters
Authors: Jong Ho Park; Sang Kwon Lee
Addresses: Department of Mechanical Engineering, Inha University, 253 Yonghyun Dong, Incheon, Korea. ' Department of Mechanical Engineering, Inha University, 253 Yonghyun Dong, Incheon, Korea
Abstract: Previous work revealed that booming sound quality is related to loudness and sharpness and that the booming index is developed by using the loudness and sharpness for a signal within the whole frequency range between 20 Hz and 20 kHz. In the present paper, the booming sound quality was found to be effectively related to the loudness at frequencies below 200 Hz; thus the booming index is updated by using the loudness of the signal filtered by the low pass filter at frequencies. The relationship between the booming index and sound metric is identified by an Artificial Neural Network (ANN).
Keywords: booming sound quality; sound metrics; neural network; vehicle acceleration; subjective evaluation; sound loudness; sound sharpness; artificial neural networks; ANNs; noise control; vehicle noise.
International Journal of Vehicle Design, 2012 Vol.58 No.1, pp.46 - 61
Available online: 17 Mar 2012 *Full-text access for editors Access for subscribers Purchase this article Comment on this article