Music Genre Classification Using Feature Subset Search
Jihae Yoon, Hyunki Lim, Dae‐Won Kim · International Journal of Machine Learning and Computing · 2016
With the growing number of digital music, the automatic genre recognition problem has been receiving the spotlight in music retrieval information field.A large number of musical acoustic features are reported to degrade the genre classification performance and lead to heavy computational cost.In this paper, we propose a new method for selecting genre-discriminative feature subset from a large number of musical features.We show that the proposed method is able to improve the genre recognition accuracy compared to the traditional selection method.