Audio data is one of typical multimedia data and it contains plenty of information. Audio
retrieval is becoming important content in multimedia information retrieval. In multimedia retrieval
researches, it becomes more and more important research part how to construct better classifiers for audio
classification and retrieval. Support Vector Machines, a novel method of the Pattern Recognition, presents
excellent performance in solving the problems with small sample, nonlinear and local minima. But audio
classification is a multi-class classification problem and it(cid:146)s just one of problems to be solved in SVM
researches. In this paper, it compares several common Support Vector Machines and proposes a hierarchical
Support Vector Machines based on audio features cluster method, combining audio features and hierarchical
SVMS. It uses hierarchical classification method to classify audio data and it(cid:146)s proved better performance by
experiments.