Predicting emotion in music through audio pattern analysis

Abstract

Music plays a big part in the development of humanity and has inspired so many people to do great things. Which is why a study was conducted focusing on music and its relation to human emotions. It tackles on how an emotional response is generated from an audio pattern through the use of a model constructed by the researchers. The work done is aimed to generate ratings of the emotion conveyed in a song represented as valence and arousal. Audio feature extraction and Artificial Neural Networks played big parts in the development of the research in creating the regression model and predicting the human emotion being emphasized in an audio pattern. The findings of the research will be used to give meaning to audio patterns and how their structure and composition leads to different emotional states of man.