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What is Music Categorization

Handbook of Research on Synthetic Emotions and Sociable Robotics: New Applications in Affective Computing and Artificial Intelligence
models consider that perceptual, cognitive or emotional states associated with music listening can be defined by assigning them to one of many predefined categories. Categories are a basic survival tool, in order to reduce the complexity of the environment as they assign different physical states to the same class, and make possible the comparison between different states. It is by means of categories that musical ideas and objects are recognized, differentiated and understood. When applied to music and emotion, they imply that different emotional classes are identified and used to group pieces of music or excerpts according to them. Music categories are usually defined by means of present or absent musical features.
Published in Chapter:
Automatic Detection of Emotion in Music: Interaction with Emotionally Sensitive Machines
Cyril Laurier (Universitat Pompeu Fabra, Spain) and Perfecto Herrera (Universitat Pompeu Fabra, Spain)
DOI: 10.4018/978-1-60566-354-8.ch002
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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