Audio Music Genre Classification Using Different Classifiers and Feature Selection Methods

  title={Audio Music Genre Classification Using Different Classifiers and Feature Selection Methods},
  author={Yusuf Yaslan and Zehra Cataltepe},
  journal={18th International Conference on Pattern Recognition (ICPR'06)},
We examine performance of different classifiers on different audio feature sets to determine the genre of a given music piece. For each classifier, we also evaluate performances of feature sets obtained by dimensionality reduction methods. Finally, we experiment on increasing classification accuracy by combining different classifiers. Using a set of different classifiers, we first obtain a test genre classification accuracy of around 79.6 plusmn 4.2% on 10 genre set of 1000 music pieces. This… CONTINUE READING
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