Bi-LSTM Neural Network for EEG-based detection of musical characteristics

Abstract

Electroencephalography (EEG) combined with Deep Learning and digital signal processing allows for mental activity recognition. In our study, a new feature extraction model-based is presented when combined with Bi-LSTM Neural Networks for EEG musical characteristics classification. This method can be used for both intra- and inter-subject scenarios reaching compelling accuracy values.