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Booming Index Development for Sound Quality Evaluation of a Passenger Car
Technical Paper
2003-01-1497
ISSN: 0148-7191, e-ISSN: 2688-3627
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English
Abstract
This paper presents a new booming index, which is developed by using psychoacoustics theory and neural network theory. The input of neural network is sound metrics for interior noise signal, which replace of the auditory system of a human. The neural network replace of the neuron structure of human' brain. The 150 sounds for the training of neural network or for optimization of the weights of the neuron have been synthesized by using a reference sound signal measured on the drive seat. The correlation for booming sounds between objective values evaluated by the trained neural network system and the subjective values evaluated by the 21 persons are well corresponded.
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Authors
- Sang-Kwon Lee - Department of Mechanical Engineering, Inha University
- Hee-Chang Chae - Department of Mechanical Engineering, Inha University
- Dong-Chul Park - Functional System Test Team 2 (NVH group), Hyundai Motor Company
- Seung-Gyoon Jung - Functional System Test Team 2 (NVH group), Hyundai Motor Company
Citation
Lee, S., Chae, H., Park, D., and Jung, S., "Booming Index Development for Sound Quality Evaluation of a Passenger Car," SAE Technical Paper 2003-01-1497, 2003, https://doi.org/10.4271/2003-01-1497.Also In
SAE 2003 Transactions Journal of Passenger Cars - Mechanical Systems
Number: V112-6; Published: 2004-09-15
Number: V112-6; Published: 2004-09-15
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