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T he availability of huge nonvolatile storage capacities such as flash memory allows large music archives to be maintained even in mobile devices. With the increase in size, manual organization of these archives and manual search for specific music becomes very inconvenient. Automated classification makes it possible for the user to organize the available music archives according to different categories, which can be either predefined or user defined, enabling a better overview of these databases.Classification is normally based on a set of features extracted from the music data. Feature extraction and subsequent music classification are very demanding computational tasks, although more and more computational power is available in desktop computers and portable devices such as smartphones and personal digital assistants (PDAs). Today, a variety of music features and classification algorithms are available, which are optimized for various application scenarios, to achieve different classification qualities. This article reviews the many aspects of music classification. Covered in more detail are feature extraction and classification approaches, algorithmic and softwarerelated aspects, and hardware implementation issues for performance and power-sensitive mobile devices.[ Toward an automated dynamic organization ]