A Novel Genre-Specific Feature Reduction Technique through Association Analysis

Adam Lefaivre & John Zhang
We consider the genre classification problem in Music Information Retrieval and report our initial investigation on reducing the number of features that are used in genre classification. Each music genre has its own characteristics, which distinguish it from other genres. We adapt association analysis to capture those characteristics using acoustic features, i.e., each genre's characteristics are represented by a set of features and their corresponding values. Our goal is to select the ""most representative"" features...
This data repository is not currently reporting usage information. For information on how your repository can submit usage information, please see our documentation.