An Informative Feature Selection Method for Music Genre Classification

スポンサーリンク

概要

• 論文の詳細を見る

• 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.

• 2011-06-01

著者

• Seo Jin

  Department Of Dermatology Seoul National University College Of Medicine

• Seo Jin

  Department Of Electrical Engineering Gangneung-wonju National University

• Seo Jin

  Department of Advanced Materials Engineering, Sungkyunkwan University, Suwon, Gyeonggi 440-746, Republic Korea

関連論文

• Loss of elastic fibers causes skin wrinkles in sun-damaged human skin
• Thermal aging : A new concept of skin aging
• Cauchy transforms on polynomial curves and related operators
• An Informative Feature Selection Method for Music Genre Classification
• Plasma Characteristics of Inductively Coupled Plasma Using Dual-Frequency Antennas

スポンサーリンク