Automatic Detection of Emotion in Music: Interaction with Emotionally Sensitive Machines

Automatic Detection of Emotion in Music: Interaction with Emotionally Sensitive Machines

Cyril Laurier (Universitat Pompeu Fabra, Spain) and Perfecto Herrera (Universitat Pompeu Fabra, Spain)
Copyright: © 2012 |Pages: 25
DOI: 10.4018/978-1-60960-818-7.ch509
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Abstract

Creating emotionally sensitive machines will significantly enhance the interaction between humans and machines. In this chapter we focus on enabling this ability for music. Music is extremely powerful to induce emotions. If machines can somehow apprehend emotions in music, it gives them a relevant competence to communicate with humans. In this chapter we review the theories of music and emotions. We detail different representations of musical emotions from the literature, together with related musical features. Then, we focus on techniques to detect the emotion in music from audio content. As a proof of concept, we detail a machine learning method to build such a system. We also review the current state of the art results, provide evaluations and give some insights into the possible applications and future trends of these techniques.
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Section 1. Music And Emotions: Emotion In Music And Emotions From Music

To study the relationship between music and emotion, we have to consider the literature from many fields. Indeed, relevant scientific publications about this topic can be found in psychology, sociology, neuroscience, cognitive science, biology, musicology, machine learning and philosophy. We focus here on works aiming to understand the emotional process in music, and to represent and model the emotional space. We also detail the main results regarding the pertinent musical features and how they can be used to describe and convey emotions.

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