This invention relates to the field of music
signal recognition technology, and more particularly to a method for recognizing the degree of music enjoyment based on music-
EEG feature fusion. The method includes: extracting the Mel-frequency cepstral coefficients of the music
signal; preprocessing and performing
Fast Fourier Transform on the Mel-frequency cepstral coefficients to obtain the spectral feature values of the music
signal; and sequentially filtering, reducing dimensionality, and decorrelating the spectral feature values of the music signal; extracting the Mel-frequency cepstral coefficients of the EEG signal; optimizing and updating the order of the Mel-frequency cepstral coefficients of the EEG signal so that the comprehensive error value between the
EEG feature reconstruction signal and the original EEG signal meets a preset condition; aligning the music feature coefficients and the
EEG feature reconstruction signal in the
feature dimension and time axis using the FastDTW
algorithm; and recognizing the degree of music enjoyment of the subject based on the alignment result. This invention effectively improves the robustness and accuracy of music recognition.