MediaEval 2015: Music Emotion Recognition based on Feed-Forward Neural Network
Braja Gopal Patra, Promita Maitra, Dipankar Das, Sivaji Bandyopadhyay · MediaEval · 2015
In this paper, we describe the music emotion recognition system named as JU_NLP to find the dynamic valence and arousal values of a song continuously considered from 15 second to its end in an interval of 0.5 seconds. We adopted the feed-forward networks with 10 hidden layers to build the regression model. We used the correlation-based method to find out suitable features among all the features provided by the organizer. Then we applied the feedforward neural networks on the above features to find out the dynamic arousal and valence values.