IEICE Transactions on Information and Systems
Online ISSN : 1745-1361
Print ISSN : 0916-8532
Regular Section
An Informative Feature Selection Method for Music Genre Classification
Jin Soo SEO
著者情報
ジャーナル フリー

2011 年 E94.D 巻 6 号 p. 1362-1365

詳細
抄録
This letter presents a new automatic musical genre classification method based on an informative song-level representation, in which the mutual information between the feature and the genre label is maximized. By efficiently combining distance-based indexing with informative features, the proposed method represents a song as one vector instead of complex statistical models. Experiments on an audio genre DB show that the proposed method can achieve the classification accuracy comparable or superior to the state-of-the-art results.
著者関連情報
© 2011 The Institute of Electronics, Information and Communication Engineers
前の記事
feedback
Top