Feature Selection in Automatic Music Genre Classification

@article{Silla2008FeatureSI,
  title={Feature Selection in Automatic Music Genre Classification},
  author={Carlos Nascimento Silla and Alessandro L. Koerich and Celso A. A. Kaestner},
  journal={2008 Tenth IEEE International Symposium on Multimedia},
  year={2008},
  pages={39-44}
}
This paper presents the results of the application of a feature selection procedure to an automatic music genre classification system. The classification system is based on the use of multiple feature vectors and an ensemble approach, according to time and space decomposition strategies. Feature vectors are extracted from music segments from the beginning, middle and end of the original music signal (time decomposition). Despite being music genre classification a multi-class problem, we… CONTINUE READING
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