An electroencephalogram signal-based auditory attention state arousal level recognition method and apparatus, and a storage medium. Said method comprises: acquiring required electroencephalogram signals; on the basis of the acquired electroencephalogram signals and a first-level main component filter constructed in the training process, performing first-level feature extraction based on ensemble empirical mode decomposition and main component filtering; on the basis of a first-level feature extraction signal and a second-level main component filter constructed in the training process, performing second-level feature extraction based on ensemble empirical mode decomposition and main component filtering; on the basis of a second-level feature extraction signal, performing variance statistics-based feature vector calculation on the extraction feature signals; and on the basis of a feature vector calculation result and a machine learning classifier constructed in the training process, extracting an electroencephalogram signal-based auditory attention state arousal level in a test process. The invention realizes arousal level recognition of an auditory attention state, and facilitates the improvement of the accuracy and effectiveness of the auditory attention state arousal level recognition.
AUDITORY ATTENTION STATE AROUSAL LEVEL RECOGNITION METHOD AND APPARATUS, AND STORAGE MEDIUM