A Review on Gaussian Process Model Based Genre Classification and Emotion Estimation of Music Signals

computer Engineering

This paper things to see methods for two tasks of Music Information Retrieval (MIR). Genre Classification and Mood Estimation are the tasks that are surveyed in this paper. Genres are the categories in which music is generally classified. It’s important to understand genre categorization for efficient music retrieval system. Techniques for genre classification automate the music retrieval systems to its users. On the other hand, human generally categorize music in terms of its emotional associations. Therefore, this paper also provides review of the methods that have been proposed for music emotion recognition. This MIR tasks needs features extraction. Here, we have focused on the method Gaussian Process (GP) and its models, Gaussian Process Classification and Gaussian Process Regression for both the tasks respectively.

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