Sound-quality prediction for nonstationary vehicle interior noise based on wavelet pre-processing neural network model

2007 ◽  
Vol 299 (4-5) ◽  
pp. 933-947 ◽  
Author(s):  
Y.S. Wang ◽  
C.-M. Lee ◽  
D.-G. Kim ◽  
Y. Xu
Keyword(s):  
Neural Network ◽  
Network Model ◽  
Neural Network Model ◽  
Sound Quality ◽  
Interior Noise ◽  
Quality Prediction ◽  
Vehicle Interior ◽  
Vehicle Interior Noise

Sound Quality Evaluation of the Interior Noise of Pure Electric Vehicle Based on Neural Network Model

2017 ◽  
Vol 64 (12) ◽  
pp. 9442-9450 ◽  
Author(s):  
Conggan Ma ◽  
Chaoyi Chen ◽  
Qinghe Liu ◽  
Haibo Gao ◽  
Qing Li ◽  
...  
Keyword(s):  
Neural Network ◽  
Electric Vehicle ◽  
Network Model ◽  
Neural Network Model ◽  
Quality Evaluation ◽  
Sound Quality ◽  
Interior Noise

Sound Quality Evaluation Control of Car Interior Noise

2013 ◽  
Vol 415 ◽  
pp. 569-573 ◽  
Author(s):  
Fang Li ◽  
Yan Yan Zuo
Keyword(s):  
Neural Network ◽  
Prediction Model ◽  
Network Model ◽  
Neural Network Model ◽  
Bp Neural Network ◽  
Quality Evaluation ◽  
Subjective Evaluation ◽  
Sound Quality ◽  
Interior Noise ◽  
Bp Neural Network Model

According to the complexity and non-linear characteristics of car interior sound quality evaluation, the technology of BP neural network is used in sound quality evaluation. The interior noise samples from actual cars were obtained by road experiment. The subjective evaluation test of sound quality annoyance was carried out. Meanwhile, several objective psycho-acoustical parameters of these samples were calculated. The sound quality prediction model of vehicle interior noise was established based on BP neural network. Annoyance of samples was obtained by means of the prediction model and the results were compared with that obtained by multiple liner regression prediction model. The results indicate that the prediction results from BP neural network model were close to the measured values. The BP neural network model was more effective than multiple liner regression model, and it can be used effectively to the evaluation of modern car noise.

scholarly journals Sound quality prediction of vehicle interior noise using deep belief networks

2016 ◽  
Vol 113 ◽  
pp. 149-161 ◽  
Author(s):  
Hai B. Huang ◽  
Xiao R. Huang ◽  
Ren X. Li ◽  
Teik C. Lim ◽  
Wei P. Ding
Keyword(s):  
Sound Quality ◽  
Interior Noise ◽  
Quality Prediction ◽  
Belief Networks ◽  
Deep Belief Networks ◽  
Vehicle Interior ◽  
Vehicle Interior Noise
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