Abstract
Music comes in many different genres and styles according to its content, which is easy for a human listener to distinguish but hard for a machine to do. This limitation encourages the creation of a system that can help a computer to classify music genre better. This paper proposed a simple method that can classify music genre on a classical, jazz, pop, and rock using frequency analysis feature extraction and ANFIS classification method. There are two types of ANFIS model, which is model A and model B. The most accurate model, is model A with an average accuracy of 53,33% across all genre. The best model for single genre classification is Model B with 80% accuracy for Classic type.
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