Neural network prediction of sound quality via domain Knowledge-Based data augmentation and Bayesian approach with small data sets

This study proposes a novel deep learning methodology to evaluate the interior noise in vehicles on mechanical and affective levels by employing small data sets. A convolutional neural network (CNN) model is constructed from the frequency-rpm spectrograms of vehicle noises to predict the mechanical attributes of the noise. The noises are classified based on the number of engine cylinders (3, 4, 6, and 8). Owing to the high variability in...