Na Li
ABSTRACT
A large number of studies have shown that EEG signals can reflect people 's subjective feelings, so a hybrid neural network vehicle sound quality evaluation model based on EEG signals is proposed to evaluate the sound quality of vehicle interior noise. Firstly,the EEG data of the subjects under different working conditions and different noise samples were collected, and the subjective evaluation experiment was carried out with the relaxation degree as the subjective evaluation index. Then, the convolutional neural network ( CNN ) and long short-term memory net-work ( LSTM ) are used to construct a sound quality evaluation model to predict the relaxation degree of interior noise, and the nonlinear relationship between EEG signal and subjective evaluation result relaxation degree is constructed.
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Index Terms
- Automotive sound quality evaluation model based on EEG signal
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