Training EEG encoders with an auxiliary InfoNCE loss that predicts a co-trained music encoder's representation improves 10-song EEG identification accuracy on the NMED-T dataset.
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Predicting Artificial Neural Network Representations to Learn Recognition Model for Music Identification from Brain Recordings
Training EEG encoders with an auxiliary InfoNCE loss that predicts a co-trained music encoder's representation improves 10-song EEG identification accuracy on the NMED-T dataset.