The Classification of MP3 Music Objects Using Support Vector Machine

In recent years, the MP3 music objects become the popular type of music file in many internet audio application. But, less attention was received to the content-based classification of MP3 music objects. In this paper, we propose an approach to classify MP3 music objects based on their energy distribution. The technics of PCA (principal component analysis) and support vector machine are used to construct the MP3 classifier. Experiments show that the good performance of an MP3 classification system can be met by the proposed method. The classification correct rate are 84.7% and 80.3% for training data and testing data respectively.